SAP Business Data Cloud Reviews

SAP Business Data Cloud serves multiple solutions. The primary use case is dashboarding and analytics. Second, customers can use it to create an enterprise lake or lakehouse solution on SAP. Additionally, there is an agentic AI solution, which means on top of the dashboarding or enterprise warehouse, I can run machine learning and AI, generative AI directly on those analytics as well. These are the use cases for which a customer would choose SAP Business Data Cloud.

As a partner, I believe the biggest advantage in the product is that SAP context is maintained. If I don't use SAP Business Data Cloud and I bring SAP data outside to a hyperscaler data lake, I lose the SAP context. Here, SAP context is maintained, and that is the biggest advantage. Additionally, SAP has standard APIs for integrating SAP Business Data Cloud with all SAP products, so I get out-of-the-box dashboards, which means out-of-the-box content, and the APIs are pre-delivered by SAP.

The product helps to eliminate silos between agents with a shared understanding of the business. SAP Business Data Cloud has a unique feature called Delta Share. For customers who have partial data inside SAP and some data outside SAP, they don't need to replicate the same data twice. I can share whatever is already there in SAP Business Data Cloud with hyperscalers and vice versa. If I have some data in Amazon and some data in SAP Business Data Cloud, I can share both of the data with each other bi-directionally, which prevents silos.

The concept of Universal Business Context capability in the product helps to maintain data meaning and relationships across systems. Context is maintained through Datasphere, which is part of SAP Business Data Cloud, where I can maintain new entity relationships. There is also a feature called knowledge graph, where I can add my own semantics on top of it.

SAP Business Data Cloud has SAP BDC Connect for data integration, which enables the sharing and Delta Sharing of data that I mentioned. The product has support for AI and ML, which helps with integrations to Snowflake or Databricks. Inside SAP Business Data Cloud, I don't have the AI or the machine learning part, but it uses that as a joint offering via Snowflake's machine learning capabilities or Databricks capabilities, or I can reuse hyperscaler capabilities like Amazon, Azure, and Google. I share the data using Connect, and then I run machine learning and pass back the results.

SAP Business Data Cloud includes SAP Analytics Cloud, which is very similar to Tableau and Power BI. The analytical agility feature in the product does impact my ability to work efficiently. Data Product Studio helps to build and manage data products. SAP has been releasing data products from their side, and I can install and activate these data products using the studio. It is created as a plug and play. I can go and select the data product and activate it, which activates end-to-end the entire pipeline, making it fast.

I use SAP BDC Connect with all new partners like Snowflake, Google, and Microsoft. Every version comes out, and today, it is only available for Databricks. By June, I will get Azure and Snowflake, and by October, I will get Google, with every quarter a new partnership being announced.

I use integration between SAP HANA Cloud and SAP Business Data Cloud, but that is the standard integration available between all SAP products, not just HANA Cloud. I can get integration with even the LOB solutions of SAP like Ariba.

If we speak about potential improvements or areas for improvement, the primary concern is cost. The main missing element right now is content in all areas. The content is highly limited right now for most of the data products, with only three or four available at this point. Data products are not available for everything, and all are being developed. If I start a project, I have to create it myself or wait for SAP to release it sometime in the future. The most important missing feature is that not all the data products are ready as of today. If the cost could be slightly reduced to make it much more competitive compared to what is available, it would also help.

Cost is quite high when I look at the market and competitors. If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.

I have been working with SAP Business Data Cloud for approximately one and a half years as a partner with the vendor.

In terms of stability and reliability, there is some downtime, but I find it pretty reliable. The downtime I have experienced occurred only once, and it was down for maybe a few minutes. SAP Business Data Cloud is pretty reliable, and I don't see a major issue there.

SAP Business Data Cloud is scalable. There are no limitations in terms of scale, so it fits both SMB customers and enterprise customers.

Regarding customer support and the technical team, that is a broader topic that doesn't only apply to SAP Business Data Cloud. Since it is fairly new, there is a good amount of support available right now. In SAP's policy, for the first couple of years, the product team is also part of the support team. Currently, I have decent support and no complaints regarding poor service. Judging on my experience, I would rate support from zero to ten points as about eight.

Regarding installation, I would say it is quite straightforward as compared to the competitors. From a complexity point of view, I don't think it is too complex; it is good.

I have observed some ROI with SAP Business Data Cloud. There are advantages, but it is early days because it is just one year out in the market. Once the entire solution is ready, meaning by the end of this year, I will start seeing ROI. While the product is ready and good, I still have to develop all the content. Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.

Setup cost doesn't affect much because I still have to manage the pipelines, but that is about it. Cost is quite high when I look at the market and competitors. If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.

I am building my own solution similar to SAP Business Data Cloud, so I use both, depending on the customer choice. If customers want to use SAP Business Data Cloud, I sell that. If they don't want to go for it, then I use my own solution on Amazon Data.

A solid rating for SAP Business Data Cloud would be eight points, which reflects my overall assessment of the product.

Public Cloud

SAP Business Data Cloud enables us to leverage existing BW data and BW models so that the business can continue while developing new software provided by SAP, which is SAP Data Sphere.

We are working on a project where we are doing a lift and shift of an existing BW system for a couple of countries, France and Germany. The organization has been using SAP BW for the last 15 to 20 years, so they have their models already created in BW, and they use that for their daily reconciliation or their month-end reportings. At the same time, as we are building similar models in Data Sphere, the data that will reside in Data Sphere will only be the new data after the implementation. Using SAP Business Data Cloud, we pull the data from the existing BW system to Data Sphere and then join both of them so that the organization can get the aggregated data for all the 15-20 years directly from Data Sphere. They do not have to use two different reports: the legacy report for the last 15-20 years of data and the new reports, the SAC reports for the recent data. They can find all their solutions or their analysis within Data Sphere.

We are using Data Product Generator to bring in all our transaction data. Similarly, we are bringing in master data so that not only the transaction data, but their attributes for the existing master data can also be leveraged from the legacy system. SAP Business Data Cloud provides flexibility to use or leverage the existing models without having to reload from existing or legacy systems to Data Sphere.

For example, we were building a finance report or a group reporting report in Data Sphere. We did not have to create new objects to load the data from legacy to Data Sphere in full for the last 15 years. What we can do is leverage the Data Product Generator which automatically sends data from BW to Data Sphere as and when the business wants to keep BW as well as Data Sphere in parallel. This definitely provides a cost saving of not storing data in multiple places for a very long time.

Our ECC to BW landscape is getting migrated to S/4 to Data Sphere. All the transactions from the last 15-20 years are in ECC and in BW only. In S/4, the transactions will be done as soon as it is live. Until 2025, all the data resides on ECC and BW. Starting 2026, transactions which are posted in S/4 are coming only to Data Sphere. If the business has to report or create a balance sheet, trial balance report, or P&L reports for one, two, or three years, Data Product Generator will share the existing BW data along with the transactions as well as master data from BW to Data Sphere. Within Data Sphere they can use the legacy data as well as the new data in the same report. Data Product Generator really helps with this.

We are using a use case where we have to send or use, pull as well as push data from multiple third-party applications, which is Anaplan or IBP. SAP Business Data Cloud provides the standard functionality or standard connectors to get data from these third-party systems without creating extensive integrations with a lot of third-party tools or integrators.

For multinational companies, for any organization which is in 20 or 30 different countries, not every country will be using the same ERP, whether that is SAP, Google Cloud Platform, AWS, or Oracle. SAP Business Data Cloud helps with this because it is a fabric where we bring in data from all the different sources, join them, combine them, and then create only one report that will show the combined data for all the countries in a single report. SAP Business Data Cloud's fabric architecture definitely helps with the integration.

We are using SAP HANA Cloud to get data from different non-SAP third-party systems, for example, Anaplan, and then they are updating data to SAP HANA Cloud and then we are just importing and deploying the tables from the SAP HANA Cloud to Data Sphere. It is fairly straightforward and definitely helps quicken the integration part.

The best features SAP Business Data Cloud offers would definitely be the analytics part.

SAP Business Data Cloud also adds flexibility to share the data with Databricks and Snowflake. Snowflake is in the pipeline, but now I do not have to copy data from SAP to Databricks. It is a zero-copy sharing. That is a useful feature if a company wants to leverage AI.

SAP Business Data Cloud has positively impacted my organization by ensuring that there are multiple projects which are still on BW, so there will be very little downtime for them to use or to still keep reporting the existing data from BW. Client retention is good. We do not have to have only the Data Sphere consultants for the data migration from BW to this. There is definitely business continuity with this.

The performance of Data Product Generator to load data from BW to Data Sphere is really slow. SAP can bring up new, better ways to load data from BW to Data Sphere.

We can bring in master data attributes and texts and transaction data, but there is still more improvement needed for bringing the hierarchies. SAP can definitely work on this.

Implementing SAP Business Data Cloud should be taken up as a new functionality that SAP has provided. It is not replacing any of the existing system that BW or the legacy system used to do. We are going one step ahead on those. Maybe some legacy functionalities are not yet available or will not be available in SAP Business Data Cloud, but there are definitely other useful functionalities which can be leveraged and should be upgraded to.

Regarding SAP Business Data Cloud's AI capabilities, the approach that SAP has taken up is the zero-data copy or zero-data sharing. The data is not moving out of SAP Business Data Cloud servers or the SAP ecosystem. The governance part is of less worry that we are not moving data, so we do not have to apply a lot of governance in both the inbound and the outbound system. It is really good.

I have been using SAP Business Data Cloud for the last six to eight months.

SAP Business Data Cloud is pretty stable. All the different solutions provided within SAP Business Data Cloud, which are Data Sphere and SAC, have been in the market for the last four or five years and I believe they are well-matured.

SAP Business Data Cloud is definitely scalable because there are integrators to connect with different SAP line of business systems, whether it is EWM, IBP, S/4, ECC, HCM, and all, and even non-SAP systems as well. Currently, the outbound or the AI capabilities are with Databricks for SAP only, but I believe it will be extended to GCP as well as to Snowflake.

We did not evaluate other options before choosing SAP Business Data Cloud.

SAP is an enterprise-level ERP. All our line of businesses use SAP, so it is very closely knitted and the reconciliation is definitely guaranteed, so we're not getting data from different ERPs. It definitely helps with that, and AI can definitely use the data which is SAP-owned data. So it definitely helps with that.

The different softwares under SAP Business Data Cloud are the Data Sphere and SAC. Those are more self-service systems. SAP is promoting low-code, no-code functionality, which means a person who is not even SAP certified or does not have much SAP code knowledge can still work on those objects. Companies can definitely leverage that. They can have multiple techno-functional consultants who can work on building the Data Sphere models as well as have business resources with functional knowledge on all those models. It definitely cuts on the number of resources that are needed for this.

My overall rating for SAP Business Data Cloud is eight out of ten.

Private Cloud

Other

My main use case for SAP Business Data Cloud involves developing solutions on the cloud by taking data from our in-house BW system, bringing it to the Datasphere, and planning to conduct reporting on SAP Analytics Cloud. SAP Business Data Cloud is a consolidated solution that combines Datasphere, SAP Analytics Cloud, and is managed by SAP BTP, which provides AI and machine learning features.

A specific example of how I am using it in a real project involves our SAC standalone system, which has the limitation that we cannot consume a very high volume of data. To address this issue, we are conducting a POC on SAP BW. In SAP Business Data Cloud, we are bringing data from our SAP BW system into SAP Datasphere, wrangling this data, and planning to create a dashboard in SAP Analytics Cloud while incorporating AI features supported by SAP Business Data Cloud platform.

Regarding my main use case, one challenge we faced was the high volume of data, which led to poor performance in standalone mode, and data loading took considerable time. We have a requirement to consume a high volume of data, meaning billions of data points, not just millions. This capability allows us to provide the business with reports and dashboards that can start at a very high-level company code and drill down to the specific document level.

SAP Business Data Cloud offers a Datasphere platform for data orchestration and storage, providing excellent features while being connected with BTP and integrating SAP AI, machine learning, and general integration.

The platform's data orchestration and AI integration make a significant difference for my team by featuring native connectivity with Databricks. We can store data in our Datasphere, utilizing the zero-copy approach to use Databricks machine learning features and bring back data for reporting in SAC platform. We are currently working on a POC for this scenario, where we will consume data in Databricks without making copies and will use it for our dashboarding and reporting.

SAP Business Data Cloud has positively impacted my organization, although it is not fully implemented yet as we are currently conducting the POC. Our business requires using AI and machine learning features, and this tool has advanced capabilities which we want to leverage to provide value and fulfill current and future requirements for the business.

Improvements for SAP Business Data Cloud are needed, especially regarding connectivity, as loading the hierarchy is somewhat complex. A smooth transition is something we want, where we can easily use what we have developed in our SAP BW within SAP Datasphere or SAP Business Data Cloud platform, as data is an integral part of SAP Business Data Cloud.

Regarding improvements, we need native integration with our existing SAP BW system, which is quite old and has seen investment over the last ten years. There is not an easy way to migrate from our current BW reporting to SAP Business Data Cloud solution, so maintaining both solutions in parallel is necessary. In the future, we hope to find a path to easily migrate from SAP BW to SAP Business Data Cloud, which will be quite helpful. Currently, we are utilizing this solution for new business requirements and not planning to migrate our existing BW to SAP Business Data Cloud yet.

In terms of features, the commenting feature when having a live connection with the Datasphere is not exceptional. In standalone SAC, when you store data, the commenting feature is excellent, allowing comments at data point layers or multiple layers. I wish they would include commenting with the live connection to the Datasphere with SAC stories and dashboards in the future.

I have been working in my current field for the last fifteen years.

SAP Business Data Cloud is quite stable.

SAP Business Data Cloud's scalability is good because it is a cloud solution, allowing for scaling based on requirements, which is a beneficial attribute of the software-as-a-service model.

Customer support from SAP is very good; they are assisting us with the POC to ensure successful implementation in the future, providing excellent support.

Previously, I used standalone SAC. Now that it has been repackaged with Datasphere and BTP, I am moving to a more integrated SAP Business Data Cloud platform.

I have used self-service analytics features in SAP Business Data Cloud to quickly change our data models, which has significantly improved our team's speed, as it is a very good feature—part of SAC and also part of SAP Business Data Cloud—allowing even business users to utilize this functionality effectively.

I have not seen a return on investment yet, but I believe it will provide more features for the business, particularly in AI and machine learning, helping to optimize workloads. While we cannot measure benefits currently, I am optimistic that it will be beneficial in the future, potentially reducing the need for resources.

My experience with pricing, setup costs, and licensing indicates that it is slightly on the higher side, but we are still in the assessment phase and are finding value for the money. If we do not, we may request SAP to provide a discount or reduce the price.

Before choosing SAP Business Data Cloud, we evaluated other options such as Google, but since our data resides in SAP systems, we thought the integration would be much better with SAP, which understands our data's meaning. This allows us to utilize our previous investments by using SAP Business Data Cloud platform.

I believe SAP Business Data Cloud could positively impact my team once fully implemented by providing faster insights and better scalability, as it is a fully cloud solution managed by SAP. Scaling can happen at any time, requiring just a change in some settings and an increase in payment. We currently have licenses for a limited number of users, but in the future, more users will be required. Since this is a software-as-a-service solution, these aspects are crucial.

Regarding SAP Business Data Cloud's AI capabilities, I feel that its governance and security are well-maintained since we have our authorization control via the company code. This ensures that the business cannot access any data outside their permissions, as AI cannot query data outside user access, making it quite well-controlled.

The accuracy and reliability of SAP Business Data Cloud's AI output can depend on the context. Sometimes, when I ask a question, the system interprets it differently and provides an unexpected answer. It can be challenging for the system to understand what I am saying clearly. Our business has high expectations and often compares our features to ChatGPT or Copilot, and while SAP Business Data Cloud is good, it does not quite match those GenAI tools.

SAP's AI uses my company's real official data to provide correct answers. This is the first product where we are utilizing AI and machine learning. Previously, our use of SAC AI within BTP was not effective. With the new SAP Business Data Cloud platform, we are optimistic about achieving more accurate and business-friendly AI and machine learning capabilities.

I have not connected SAP Business Data Cloud to any other AI agents, and I do not believe it is possible for other AI to integrate easily due to security concerns. We have not included any AI agents in our SAP landscape.

We use SAP Business Data Cloud for reporting and dashboarding, ensuring we provide the right context of the data when moving it from our SAP BW system because that data is highly contextualized and not raw. This allows the business to understand the data for their self-service reporting.

Currently, we are not using SAP Business Data Cloud Connect for data sharing as the platform is new, and we do not have that much data to share.

We have not connected SAP Business Data Cloud to external platforms such as Snowflake, Google, or Microsoft, so our data management and movement remain unchanged.

SAP Business Data Cloud is quite stable.

My advice for others considering SAP Business Data Cloud is to start with smaller solutions if you plan to move from SAP BW and see how it fits into your current landscape. It is not a big bang transition. Starting with smaller projects allows for a smoother integration, with the prospect of more capabilities from SAP in the future for migrating fully from SAP BW to SAP Business Data Cloud.

My additional thoughts about SAP Business Data Cloud are that it is a promising, future-oriented product with substantial AI and machine learning features, and I believe that the product is still evolving, so more improvements will come for its components such as SAC, Datasphere, and BTP. I would rate this product a seven out of ten.

Public Cloud

Amazon Web Services (AWS)

My main use case for SAP Business Data Cloud is to unify and manage enterprise data from SAP and non-SAP sources primarily for reporting, BI, and data integration.

A specific example of how I use SAP Business Data Cloud is for the consolidation of our SAP ERP system with business applications into SAP.

The best features SAP Business Data Cloud offers are unified data access, data governance, and data integration.

I find the unified data access feature most valuable day-to-day due to its strong governance and seamless integration with SAP, which helps support reporting and AI from a trusted data foundation. These features help reduce data errors and improve speed, accuracy, and business insights.

SAP Business Data Cloud has positively impacted my organization by improving data access and reporting through a centralized and governed data platform. Previously, teams spent significant time collecting and reconciling data from multiple systems, but now reporting becomes faster and more consistent, enabling better collaboration between finance and sales.

Since implementing SAP Business Data Cloud, reporting has become 30 to 50 percent faster as business data no longer needs to be manually consolidated from multiple systems. Additionally, we see fewer data inconsistencies due to standardized data storage, improving collaboration among finance, sales, and operations teams working from the same trusted data source. This helps management make faster and more accurate decisions.

I would like to see simpler deployment and out-of-the-box integration with non-SAP systems, as well as enhancements to the self-service analytic features in SAP Business Data Cloud. These improvements would reduce implementation effort and make the platform more accessible for business users.

I have been using SAP Business Data Cloud for the last two to three years.

SAP Business Data Cloud is stable and has been reliable for us, showcasing stable performance, good availability, and consistent results for our reporting and analytics needs.

The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues, making it adaptable to changing business needs.

Customer support for SAP Business Data Cloud has generally been positive, as we have received timely assistance with most issues, and complex cases have been handled effectively through SAP's escalation process.

I would rate customer support for SAP Business Data Cloud an 8 out of 10.

We did not use any other solution prior to this; from day one, we have been using SAP Business Data Cloud.

The setup cost for SAP Business Data Cloud was moderate to high, as expected for an enterprise platform. The licensing process was straightforward once our requirements were defined, and the operational benefits helped justify the investment.

We have seen a return on investment through time savings and efficiency rather than fewer employees; reporting has become 30 to 50 percent faster, and manual efforts have decreased, allowing teams to spend more time on analytics instead of data collection and reconciliation.

The setup cost for SAP Business Data Cloud was moderate to high, as expected for an enterprise platform. The licensing process was straightforward once our requirements were defined, and the operational benefits helped justify the investment.

Before choosing SAP Business Data Cloud, we evaluated options like Snowflake, Data Battery, and Microsoft Azure data services. We chose SAP Business Data Cloud because it integrates with our SAP landscape and provides stronger governance from the data.

My advice for others looking into using SAP Business Data Cloud is to focus first on business goals, prioritize data quality and governance, and start with a few high-value use cases. This approach helps demonstrate value quickly and makes implementation smoother. I would rate SAP Business Data Cloud an 8 out of 10 overall.

Public Cloud

Amazon Web Services (AWS)

SAP Business Data Cloud serves as a central data platform while integrating with the data sources across both cloud and on-premises systems. This gives me the flexibility to work with the data regardless of where it resides.

I use SAP Business Data Cloud in a hybrid environment, and my primary cloud provider is Microsoft Azure. The platform integrates data from multiple sources, and Azure has worked well for scalability, connectivity, and data management requirements.

I have used SAP Business Data Cloud Connect to integrate data with external partners for data sharing. The biggest benefits have been faster access to information, fewer manual steps, and more consistent data across systems. Overall, it has made data sharing more reliable and efficient.

The integration between SAP HANA Cloud and SAP Business Data Cloud has helped simplify data management by making data more flexible and consistent across platforms. It reduces manual effort, improves data quality, and supports faster reporting and analytics.

I have used the Data Product Studio in SAP Business Data Cloud to help organize and manage data products more efficiently. It provides better visibility, governance, and consistency, making it easier for teams to find and use trusted data.

The best features SAP Business Data Cloud offers in my experience are data integration, centralized data management, and analytics. What stands out most is the ability to bring data from multiple sources into one platform, which makes reporting more efficient and provides better business insights.

The data integration and centralized management feature of SAP Business Data Cloud has definitely made things easier. One of the biggest benefits is that my team spends less time collecting and validating data from different systems. Since the data is already centralized, reporting and analysis can be completed much faster. I have also seen fewer errors because using the common platform improves confidence in the data and reconciles information from multiple sources.

Using SAP Business Data Cloud, I was able to bring that data together in a centralized platform, which improves data consistency and makes reporting more efficient. This helped my business users access insights more quickly and reduces the time spent gathering and validating data.

I have seen better access to data and more efficient reporting since the implementation of SAP Business Data Cloud. By centralizing information from different systems, SAP Business Data Cloud has reduced manual effort, improved data consistency, and helped teams make decisions more quickly.

The accuracy of SAP Business Data Cloud helps surface insights more quickly and reduces manual effort. I still review important decisions, but I have not noticed any major issues with the quality of the output.

SAP Business Data Cloud does a good job of using my organization's data to provide relevant insights. The outputs are generally accurate because they are based on centralized business data, although I still validate important decisions and reports before acting on them.

Using the self-service analytics features in SAP Business Data Cloud has helped me change my data models quickly. The self-service analytics feature allows users to work with data more independently, which reduces reliance on technical teams and speeds up reporting and decision-making. I have seen faster access to insights and quicker response to business needs.

I use SAP Business Data Cloud to centralize and standardize the data from different systems. This helps maintain consistent definitions and relationships across data sets, which improves reporting accuracy and ensures everyone is working from the same source of truth.

The AI and ML capabilities of SAP Business Data Cloud have helped me gain insights from data more quickly and reduce manual analysis. They have improved reporting and helped business users make faster, more informed decisions.

For improvement, I would like to see more customizable dashboards, better reporting flexibility, and additional automation for data management tasks in SAP Business Data Cloud.

I gave it a nine because it has improved data integration and reporting significantly. The only reason it is not a ten is that I would like to see more reporting flexibility and automation.

I have been using SAP Business Data Cloud for about a year, primarily for data integration, reporting, and analytics.

SAP Business Data Cloud has been stable in my experience. I have not had any major downtime, and it has been reliable for reporting, analytics, and data integration activities.

SAP Business Data Cloud has scaled well for me. As my data volumes and reporting needs have grown, the platform has continued to perform reliably and support my requirements without major issues.

Customer support for SAP Business Data Cloud has been good overall. The team is knowledgeable and responsive, and most issues are resolved in a reasonable amount of time. For more complex cases, it can take a bit longer.

I would give customer support for SAP Business Data Cloud an eight out of ten. The team is responsive and knowledgeable, though complex cases can sometimes take a bit longer to resolve.

I do not have exact metrics, but I have definitely saved time by reducing manual data collection and reporting effort. The biggest benefits have been improved efficiency, better data consistency, and faster access to business insights.

I believe options from Microsoft and other data analytics firms may have been considered before choosing SAP Business Data Cloud, but I was not personally involved in that evaluation, so I cannot comment on the details.

I would recommend having a clear data strategy before implementation and focusing on the business outcomes you want to achieve with SAP Business Data Cloud. If your organization needs to centralize data and improve reporting and analytics, SAP Business Data Cloud is definitely worth considering.

I believe I have covered the key points about SAP Business Data Cloud. SAP Business Data Cloud has helped improve data accessibility, reporting efficiency, and decision-making. While there is always room for improvement, my overall experience with the platform has been very positive. I would rate this review a nine out of ten.

Hybrid Cloud

Microsoft Azure

SAP Business Data Cloud solution's main use cases center on AI-infused analytics. Previously, SAP Datasphere and SAP Analytics Cloud provided data analytics based on available data. However, when we want to incorporate non-SAP related data such as inflation prices, shipment delays, or currency exchange rates, we can now infuse these data points with our SAP data to identify lead times, shipment delays, vendor performance, or actual revenue based on currency conversion. These challenges are being resolved because we brought external, real-world data into our Databricks environment, processed it with algorithms, and then displayed the results on the SAP Analytics Cloud dashboard.

The improvements to our organization are significant. We can now integrate external data sources with our internal SAP systems to gain deeper insights into vendor performance, supply chain delays, and financial metrics affected by currency fluctuations. This capability enables us to make more informed business decisions based on comprehensive data analysis.

SAP Business Data Cloud has two most valuable features. First, the platform now includes a designed workflow that enables data to move from one place to another in a more manageable way, whereas previously the environment lacked this flow. Second, the data products represent a significant advancement. Previously, SAP provided business content that required installation and manual data pulling, though it came pre-configured. Now, the data products offer more manageable, refined, and usable work. This approach encourages adopting the standard version rather than pursuing customization, as SAP provides support for standard versions.

Third, the increased customization capabilities allow us to implement algorithms and develop solutions with greater freedom. We have the flexibility to program anything, bring in any data, or conduct analysis with more autonomy than ever before.

We have only scratched the surface of benefits from using SAP Business Data Cloud because it is new for us as well. SAP Business Data Cloud market does not have many available resources, so we brought in resources to train our team. For training purposes, we brought in international currency exchange data and shipment delays data related to ongoing geopolitical situations. We are currently processing this data with our open purchase orders and shipment information to identify what analyses we can perform. Although we have these capabilities available, we have not yet enthusiastically begun using them, but this will be included in our next quarter plan.

In my opinion, SAP Business Data Cloud could be improved in the availability of Joule, which is more focused towards data products. However, if Joule becomes more feasible with custom products, I believe that would significantly improve SAP Business Data Cloud and the AI roadmap that SAP is planning.

I have been working in the SAP analytics field for around seven years.

Regarding stability and availability of SAP Business Data Cloud, the system tenant availability is very good. We do face issues during quarterly releases when systems occasionally go down, but this occurs very rarely. Other than during these quarterly release periods, the availability is excellent.

The scalability of SAP Business Data Cloud solution is excellent because I have reviewed the roadmap extending to 2040 that SAP announced. Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed. Previously, the components were scattered around, but now there is a comprehensive roadmap available.

On a scale of one to ten, I would rate SAP's customer service and support as six.

My experience with deployment of SAP Business Data Cloud is that there were not many requirements. It is essentially a tenant setup requiring licensing only. We already had licensing for SAP Datasphere and SAP Analytics Cloud, so we simply switched off from one side and switched on to the other side, and then SAP Business Data Cloud became available. There were not many requirements for the deployment itself. However, I must note that the process is quite lengthy. When it comes to purchasing or licensing, the account manager available in Saudi Arabia takes much longer to process. When we have requirements, we want to close them as soon as possible, but the process took a few weeks or even months. This represents a drawback.

I started utilizing SAP Business Data Cloud this year because we changed our licensing category from an individual category to SAP Business Data Cloud. The name itself was announced this year. Previously, it was not a complete package; it operated as silos with SAP Datasphere as one component, SAP Analytics Cloud as a separate component, and SAP Joule as another separate component. From 2026, and in late 2025, SAP announced the launch of SAP Business Data Cloud as a complete package. The installation approach is different now. Previously, we purchased licenses through SAP BTP, but now there is another platform where we can buy licenses. SAP now provides a complete package as SAP Business Data Cloud.

I would assess the AI features of SAP Business Data Cloud as follows: previously, there were already two or three AI features available. We are currently using Joule as an SAP AI feature, which has natural language processing capability. Joule processes data based on the NLP model and provides analysis based on our requirements and scripts.

Regarding SAP Business Data Cloud's ability to eliminate silos between agents, the answer depends on who we call agents. Agents could be people from outside the organization or from inside the company, and this question contains some ambiguity.

I find that analytical agility in SAP Business Data Cloud is fundamentally about data products. In the agile framework, we have continuous delivery and cannot wait on a waterfall framework for one-by-one delivery. The agility is excellent and has improved significantly compared to the business content approach, which came with certain flaws. For example, some objects that were previously available were not synchronized between systems, with some available in S/4HANA and others not. We had to address these issues. The agility has genuinely improved in this version.

Our company absolutely uses Universal Business Context capability. We have been developing a product that could be utilized as a data product and as a third-party product available globally. If someone needs to use it, they can acquire or import our content and utilize it for their business scenarios or context.

This feature helps in maintaining data meaning and relationships across systems. It is not based solely on data but on architecture, where we develop an architecture that pulls data from our system. When we move toward third-party exportation, the data remains with us, and only the architecture or the flow becomes available to the other parties.

I have not used SAP Business Data Cloud Connect for data integration with partner systems.

We have used the data modernization features in our SAP Business Data Cloud system.

We do not have SAP BW objects because ours was a greenfield implementation. We directly started our journey from SAP Business Data Cloud. If we had BW, we would have used the BW bridge object.

SAP Business Data Cloud support for AI and ML has enabled new use cases in my company by providing amazing freedom to develop algorithms that were previously not available with SAP. Even in SAP Datasphere, we could bring non-SAP data, but we could not build AI-infused algorithms. However, in Databricks within SAP Business Data Cloud, we can write ML algorithms, train our models, have test cases available, bring in data sets, and have access to these capabilities. It provides so much freedom.

We are currently working with Microsoft, but we have not started with Snowflake because we already have SAP Datasphere, so we did not pursue Snowflake.

SAP Business Data Cloud is integrated with Microsoft. It is connected with Microsoft SQL Server to bring in non-SAP data.

This integration has affected my data processes in that it did not negatively impact data processing. However, the integration was quite difficult because SAP manages its own security, and we faced issues at the firewall level for whitelisting external IPs, as SAP handles this when a public cloud is available. We faced some difficulties at the firewall level, but the information provided in their guidance and help guides was clear. Overall, we integrated seamlessly.

For SAP HANA Cloud, we are using integration through CPI. We are using it, but not directly through SAP Business Data Cloud.

We have researched the Data Product Studio in SAP Business Data Cloud, but we have not begun using data products as a live feature. However, we are planning to use data products in a new quarter.

My advice to someone researching SAP Business Data Cloud is to consider whether you already have a source system or an SAP ERP in place. If so, I would strongly recommend SAP Business Data Cloud because the ecosystem it builds creates seamless integration between your source system and destination. You will not face connection and integration challenges, which is crucial in analytics as we need real-time analysis available for our data. SAP Business Data Cloud provides a very seamless experience. Additionally, the features SAP provides exceed what the market typically offers. The market usually provides either analysis or a planning tool. Within SAP Business Data Cloud, we have three things: AI-infused capabilities, analytical features, and planning tools all available. Within one package, we gain three benefits within the ecosystem. This is why I would strongly recommend SAP Business Data Cloud. I rate this solution eight point five overall.

I have experience with SAP Business Data Cloud and have been dealing with it for the last two years. I also use SAP Business Data Cloud myself as an architect.

Our company is a consulting company, and we have already developed many AI products by our own team. We propose these products to everyone, including our customers, for use. However, when questions arise on the analytics part, we also propose SAP Business Data Cloud to the client. We are preparing a PoV and addressing the general question from clients about converting from BW or BW/4HANA to SAP Business Data Cloud. We offer that PoV and the migration model as advisory leaders.

SAP Business Data Cloud offers valuable capabilities, particularly the zero copy functionality when there are multiple legacy systems. This is quite valuable because earlier, ETL was required to do the migration tasks, which took time. The zero copy approach is now quite usable. SAP has introduced the data product concept, where most customers find that maximums are available in the standard data products, eliminating the need for extensive customizations. We are also doing a lot of things with AI; SAP's collaboration with Databricks enables many AI activities for forecasting models and more. In summary, SAP Business Data Cloud is now one platform that supports activities on both the SAP Analytics side and the AI side, making it a valuable product.

SAP Business Data Cloud is based on the Datasphere as a semantic model, allowing for integration with third parties if they require the information through Datasphere integrations. We are using standard data products in SAP Business Data Cloud. If standard data products do not fit the needs, we try to extend them where possible. For instance, the customer master is a standard data product, but it does not always include all necessary fields. If certain custom fields exist in the customer data product in BW, we extend the standard products accordingly. If a required data product is not available from SAP, we build a new data product using ABAP.

HANA Cloud connects with SAP Business Data Cloud through the Datasphere. Data copying from HANA Cloud follows zero copy modeling, and where zero copy is not possible, data from HANA Cloud does come to the Datasphere layer. This is definitely possible, and we are utilizing it.

Improvement is needed in data modeling, particularly on the Datasphere layer. SAP must also enhance AI modeling and LLM aspects. The knowledge graph and models are gradually expanding in SAP, and as people begin using AI/ML in SAP Business Data Cloud, this newer platform will mature over time.

In addition to data modeling, I would like to see more automation features. SAP is already working on increasing data products, aiming for a plug-and-play mechanism tailored for various industries. Many essential data products are still unavailable and should be developed further. Moving from BW to SAP Business Data Cloud could be more seamless, similar to how industry-specifications travel. SAP is certainly aware of the necessity for improvements and is progressively enhancing the data product offerings.

I have been dealing with SAP Business Data Cloud for the last two years.

I rate the technical support for SAP Business Data Cloud as a seven. They provide technical support, which is critical given that SAP Business Data Cloud is a maturing platform. Their service is fairly average and acceptable. I have not observed many gaps in their support. My experience is limited when it comes to determining what improvements might be needed.

If you already have Azure in your landscape and want to do analytics, there is little reason to buy SAP Business Data Cloud again since you can accomplish that through Azure. Technically, both SAP and Azure save data in a data lake using similar zero copy methodologies. SAP has borrowed this approach from Azure and AWS, as seen through their collaboration with Databricks. Azure provides a more mature collaboration with Databricks, while SAP Business Data Cloud is still developing. It is up to businesses to decide how much they want to invest; if they wish to stay within the SAP ecosystem, they can choose SAP Business Data Cloud. Still, SAP Business Data Cloud is evolving, and many improvements are on the horizon.

I have not purchased directly, but clients are buying from the AWS Marketplace for their needs. For SAP Business Data Cloud pricing and details, direct communication with SAP is essential, as they are the only ones who truly know the prices. Publicly available information may not always reflect reality, as SAP determines pricing on a case-by-case basis.

Regarding pricing, SAP has adopted a pay-as-you-go service model, which is good, but pricing is high. SAP's pricing is based on a control unit, which I cannot precisely recall. If I compare the pricing of SAP Business Data Cloud and Databricks with that of Azure and Databricks, SAP's pricing appears quite elevated. Azure and AWS offer more lightweight solutions compared to SAP, making SAP's pricing higher based on consumption.

SAP is now using the knowledge graph on the AI side. The information available on the SAP Business Data Cloud semantic layer helps Databricks prepare the AI modeling. What they prepare is quite helpful and typically non-conflicting, although we need to train the models and provide different information based on business feedback. SAP is also implementing learning in their LLM models and preparing AI models on the Databricks layer, making it all quite helpful.

If you use Joule, which operates on top of SAP Business Data Cloud, you can ask questions to SAP, and it will answer by preparing the modeling, graphs, forecasting models, and everything itself, making it truly self-service for the user.

From BW InfoCubes, we need to convert them into data products, starting with mapping the BW InfoCubes with the standard data product. If mapping is not possible, we have to build custom data products to fill any gaps. The first step is conducting a fit analysis with existing BW models, identifying gaps, and developing the custom data products on the Datasphere layer. This way, conversion from BW to SAP Business Data Cloud becomes quite easy, although it does require analysis and has its challenges.

The AI/ML we discussed, particularly the collaboration with SAP Databricks, has enabled AI/ML modeling with the data available on the Databricks layer. Three layers exist in SAP Business Data Cloud: Datasphere, AI/ML, and semantic modeling on the Databricks layer. We are implementing AI/ML per our customers' needs on the Databricks layer in SAP Business Data Cloud.

I have not used the feature of publishing SAP Business Data Cloud modeling on Salesforce yet, but I need to explore that part.

I would rate this product a six overall.

Hybrid Cloud

Amazon Web Services (AWS)

SAP Business Data Cloud serves as a pass-through solution for data in my project engagement. Whenever data needs to be fed from both SAP and non-SAP data sources, I use a functionality called Datasphere, which is now part of SAP Business Data Cloud, to pass the data through and expose it to different types of visualization tools, which could be both SAP and non-SAP.

In a particular scenario, the client needed historical data maintained in an Excel file, which is a non-SAP data source, along with actual data maintained through SAP S/4HANA standard tables. I created a pipeline and an analytic model in Datasphere that makes a union of data coming from the Excel file. I created a CDS view to obtain the actual data from SAP's standard extractors and standard tables. The CDS view and the data coming from Excel are unioned together, resulting in an analytic model that contains both historical and actual data. The data is passed through to SAC reports through a live connection, which provides real-time insights into this data. SAC stands for SAP's analytics cloud tool, and the data could alternatively be passed to non-SAP tools such as Power BI or Snowflake.

SAP Business Data Cloud is in partnership with Databricks now, which has made it easier to create AI-based models. That responsibility falls to Datasphere itself, which completes SAP Business Data Cloud. One of its biggest advantages after its merger with Databricks is that I can create models out of the views created in Datasphere, which can then be used in Databricks to create AI models. Those AI models can then be exposed to different kinds of tools. This is probably one of the biggest additions in SAP Business Data Cloud nowadays, though I am not certain how far it has reached because there are very few instances of such scenarios in real-time at the moment. However, I believe this is where Databricks and SAP Business Data Cloud see themselves heading in the future.

The biggest feature of SAP Business Data Cloud is replication flow. Replication flow can replicate data from any source into any source in delta as well as full form. It does not matter if data is being fetched from a non-SAP source and delivered to a non-SAP source; replication flow can be used. It is a technique and a kind of alternative in Datasphere where I can choose to do either a full upload or a delta upload. That is one of the biggest strengths of Datasphere.

Replication flow specifically helps my team by allowing us to fetch data from various sources without creating many objects. In that single object created, I can fetch data from multiple sources all at once, irrespective of what their source system is. Once the data is replicated, it can be fetched to any other source desired, whether it is SAC or a non-SAP visualization tool. This makes the task easier because not only do I not have to worry about creating many objects, but I can also ensure that the data is loaded all at once.

Apart from replication flow, data governance is also one of the strengths of SAP Business Data Cloud. I can see the complete data lineage of my model from beginning to end, and I can pick and choose any of the models desired. I can preview the data or the structure of that model anytime. In one complete screen, I can get the complete lineage of the flow, which is one of the biggest advantages in SAP Business Data Cloud.

SAP Business Data Cloud has provided centralized access in respect of the data governance part. It has managed to provide real-time insights due to its live reporting, and it has provided a unified, comprehensive interface wherein the data is in harmony, whether it is SAP or non-SAP. I manage to get harmonious data in every instance. At the very least, it is an AI-ready data platform, so in the future, if there are any AI-specific results desired, SAP Business Data Cloud's merger with Databricks makes that very possible. I can see it being a very interactive and AI-driven entity in the future.

SAP Business Data Cloud needs to be more reasonable in terms of costing. There is a new condition that SAP has provided to new clients desirous of purchasing SAP Business Data Cloud licensing, which is that they can only purchase it as a whole, including Datasphere and SAP Analytics Cloud. If clients desire to purchase only Datasphere or only SAP Analytics Cloud, they would not be entertained. This is one thing that could be improved. Secondly, SAP should try convincing clients to move to SAP Business Data Cloud with a more aggressive mindset so that SAP S/4HANA and SAP BW or SAP BW/4HANA become obsolete, and reliance is only on SAP Business Data Cloud for all reporting.

The user experience with SAP Business Data Cloud is satisfactory; it is a very user-friendly interface. Regarding the technical aspects, I feel they need to inculcate more flexibility when it comes to using Databricks. Currently, Databricks is only being merged for the purpose of creating AI models. If Databricks could be merged for ERP purposes as well, it could benefit them significantly because petabytes of data could be processed in seconds, something that Databricks is well equipped to do. Expanding Databricks' involvement would be very helpful.

I have been using SAP Business Data Cloud for almost a year.

Every time there was a particular report that used to be very slow, SAP Analytics Cloud and SAP Business Data Cloud managed to improve its performance. I was able to performance-tune it well and provide data to commonly used external sources such as Azure, Snowflake, and Power BI. This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.

SAP Business Data Cloud has a very layered and scalable architecture. It can easily be changed in the future if the client wants any major or minor changes to happen in its reports.

SAP is quite serious about making SAP Business Data Cloud its future. If any request or incident is raised to SAP for SAP Business Data Cloud, they are very active in their response.

Previously, the team used a completely non-SAP solution called Oracle E-Business Suite. It obviously had no AI capabilities and did not have the kind of data governance that Datasphere and SAP Business Data Cloud provide, which is why we switched.

Only SAP-specific options were evaluated since I am an SAP consultant. Nothing else was evaluated, but Datasphere and SAP Business Data Cloud CDS views built up on BW/4HANA were considered. Given the client's interest in investing in AI in the future, SAP Business Data Cloud was selected, considering that Datasphere was quite developed by the time I joined the project.

If data is coming from different types of sources and needs to be delivered to Azure, Snowflake, or any other kinds of sources, SAP Business Data Cloud would be a very logical solution. It is one of the best solutions for maintaining data integrity from different types of sources and delivering it to all the major ERP tools.

SAP Business Data Cloud is a new tool that is already evolving. I think we should all be excited to see where it is heading and how much potential it has.

Considering the robustness and reliability of the solution, SAP Business Data Cloud's merger with Databricks enhances its accuracy and reliability. It is constantly learning, so the more AI models it comes across, the more accurate and reliable it gets.

In terms of SAP Business Data Cloud's governance and security, it is very robust. Its data security is totally dependent on authorizations, and it is rigid in ensuring that spaces, objects, and reports are all authorization-relevant so that not anybody can access anything. In terms of governance, it can easily be governed because the complete flow of all the objects can be seen in a single screen. I would rate this review an 8 overall.

Our main use case for SAP Business Data Cloud is that we are migrating from SAP BW for BW on HANA 7.5 Azure to SAP Business Data Cloud.

Currently, we are on version SAP BW for HANA SAP, specifically SPS 7.5 SPS 23 version, and our main objective is to migrate and upgrade our version to SPS 31 on SAP Private Cloud Edition. We will then be consuming SAP Business Data Cloud functionalities including data products and intelligent applications after we are on SAP Private Cloud Edition.

Regarding our use case and how we are planning to use SAP Business Data Cloud, we will be migrating our existing info providers or data providers into data products through the Data Product Generator. Whenever there is a new requirement, we will be building all new requirements in SAP Business Data Cloud by using data foundation services. At this point, we are consuming only BW on HANA providers as data products. Later, by using the Delta Share mechanism, we will be consuming them in Databricks for machine learning capabilities.

The best feature SAP Business Data Cloud offers is a zero delta sharing mechanism, which is more useful because we can consume the data from SAP Business Data Cloud without sharing the data to third-party tools. For example, if we are using Snowflake, we can consume the data through a Snowflake connector. Microsoft also has a connector for SAP Business Data Cloud so we can consume the data in third-party tools without loading the data.

Using these connectors has significantly impacted our workflow and data integration with third-party tools. Previously, we were loading data from SAP S/4 to Azure Synapse Analytics. Through SLT, we faced many issues loading the data due to huge volumes of data and RFC connections having limitations including time limitations. By using the zero delta mechanism, there is no need to copy; we can directly consume the data as a data product wherever we want in third-party tools without loading the data. This is a great feature provided by SAP Business Data Cloud.

In addition to this, SAP has provided Intelligent Applications, which are ready-to-consume tools where ready-made installed datasphere models and SAP dashboards are available. Based on a single click, if we have a requirement for working capital insights, we can simply click on the installation of Intelligent Applications so that all the readymade end-to-end flows will be installed in our environment.

SAP Business Data Cloud has positively impacted my organization because previously, SAP was not integrated with SAP Databricks, which is strong in machine learning. This is a great feature provided by SAP so that customers using SAP as a source, S/4, no longer need to rely on other tools like Azure or any other remaining tools to work on machine learning capabilities since they are associated with Databricks. This will be a great feature in the cloud environment.

In terms of specific outcomes or metrics that show how SAP Business Data Cloud has benefited my organization, time has been saved compared to previously. It provides a broad perspective to the organization, and since most of the resources are handled by SAP, it reduces the effort for the company to maintain those resources. Since we have data harmonization, all the data resides in a single environment, making data accessibility easy for the company. In our case, it saved time, and going forward, it would be saving money for the client.

SAP Business Data Cloud can be improved by providing more use cases for intelligent applications. Currently, SAP is mainly handling data foundation services, and it should give more scope for customization. Previously, when upgrading from BW to BW/4HANA, there were data migration tools provided. However, currently, SAP does not provide any tool to migrate models from BW to SAP Business Data Cloud; we have to do a Greenfield implementation from scratch. If SAP provides a tool to migrate the existing flows in BW directly to SAP Business Data Cloud, it would be really helpful.

The needed improvements include focusing more on the data product level and enhancing the migration aspect. SAP should implement some mechanism where we can directly use the Data Product Generator, which is already available. However, for flows, a simplified tool from SAP would be necessary for migration.

My experience with pricing, setup cost, and licensing is that I feel SAP is still a bit more costly, but in terms of data security and governance, it is worth it for large businesses.

I have been using SAP Business Data Cloud for one year.

Regarding the stability of SAP Business Data Cloud, I cannot comment at this point because it is still an evaluating tool, but it comprises Datasphere and SAC, both of which are already stable.

In terms of scalability, SAP Business Data Cloud is a very great tool.

Customer support is good for now; however, since many customers are migrating to SAP Business Data Cloud, SAP needs to invest or focus more on the support side.

Previously, we only used SAP BW, specifically BW on HANA. Since SAP is providing cloud solutions, and the license for BW on HANA is expiring by 2027, we upgraded to SAP Business Data Cloud.

SAP Business Data Cloud is deployed in my organization as a Private Cloud Edition (PCE), also referred to as Public Cloud Edition, PCE, SAP PCE RISE.

Our company has a business relationship with SAP as a partner; we are investing in terms of personnel by encouraging employees to get certified in SAP Business Data Cloud and learn more. Most of our employees are certified in SAP Business Data Cloud.

I have seen a return on investment in terms of time saved; however, I cannot comment on the money saved at this point since we have only recently implemented this solution. In terms of employees, it will definitely reduce the need for more staff to handle this technology.

I did not purchase SAP Business Data Cloud through the Azure Marketplace; it was from SAP directly.

Before choosing SAP Business Data Cloud, we evaluated other options including Azure and Microsoft Fabric. However, most of our data stays in SAP S/4, and with our analytics and data warehouse solutions already on BW, which is a SAP tool, we felt that for governance and audit purposes, SAP Business Data Cloud is more reliable and worth our investment compared to Microsoft or other solutions.

I did not get the chance to implement the self-service analytics features in SAP Business Data Cloud to change my data models quickly.

I have not used the integration between SAP HANA Cloud and SAP Business Data Cloud; I did not get the chance to implement it.

Regarding my experience with SAP Business Data Cloud Connect to integrate data with external parties or third-party platforms, since it is a cloud mechanism, when using replication flows, there are issues with data loading performance-wise. SAP needs to improve on that functional level.

My advice for others looking into using SAP Business Data Cloud is that customers already using S/4HANA as the ERP tool, who have all their data in SAP, should consider it, even though it can be a bit costly because moving or consuming data into third-party tools makes it less appealing for customers to share their data externally.

Regarding additional thoughts about SAP Business Data Cloud, I see it as an emerging tool and a great option for customers wanting to explore data in machine learning and AI capabilities. I suggest it would be beneficial, but SAP also needs to improve from their end. Most maintenance is on SAP's side, and it can be challenging if there is a lack of support; they should maintain a minimum number of resources for support whenever needed. Since all services related to data foundation are maintained by SAP, they should concentrate more on the product side. Overall, I would rate my experience with SAP Business Data Cloud as a seven out of ten.

This tool is very useful. I most like it when I can do my tasks and the models. I also create reports from this solution which is very good. When I do my analysis there, the tool has an AI tool, and this helps me a lot to understand the data and what I need to do there.

I dislike when they do a lot of verification before I begin. I need to follow various steps to get into the system, and I hate this one.

I have used this solution for about two years.

I contacted them last year because I lost my password, and they helped me to get a new one.

They are very fast, and they speak in both languages, Portuguese or English, it does not matter. I sent an email in English, and they answered me in Portuguese. This helped me a lot.

I have used Power BI. I used it a lot.

For the first time, I needed to watch videos to try and understand. I followed a tutorial before I used the tool.

No one was on the implementation team.

The cost is good. It is not so high. For me, it is an honest price.

One time I did a report before the AI entered the system. I was doing a test to get a certification, and in this case, the AI did not exist there, so I did it by myself.

I just use SAP Business Data Cloud.

I am a client.

My overall review rating for this product is eight out of ten.

Hybrid Cloud

Microsoft Azure