

SAS Data Management and SAP Business Data Cloud compete in the data management and analytics platform category. SAP Business Data Cloud seems to have the upper hand given its strong predictive analysis and integration capabilities in collaborative environments, making it a preferred choice for integrated analytics.
Features: SAS Data Management provides easy creation and scheduling of data flows, and robust ETL processes alongside comprehensive data integration tools. Additionally, its metadata management and data governance are highly regarded. SAP Business Data Cloud offers strong predictive analysis, user-friendly interfaces, and collaborative self-service environments, alongside planning functionalities that enhance business intelligence capabilities.
Room for Improvement: SAS Data Management faces challenges with costly licensing and complex configuration, along with limited non-ETL application cases and difficulties in external data access. SAP Business Data Cloud users point out expensive solutions, limited analytics features, and challenging integration with non-SAP systems. Its user interface could be improved with more visualization features, third-party connectivity, and Python scripting support.
Ease of Deployment and Customer Service: SAS Data Management is primarily deployed on-premises and in hybrid cloud environments, backed by a responsive technical team, though regional expertise varies. SAP Business Data Cloud, available on private and public clouds, benefits from structured support and strong cloud integration, although pricing restricts extensive rollouts and technical service effectiveness may vary by region.
Pricing and ROI: Despite yielding high ROI in specific sectors, SAS Data Management's expensive perpetual licensing is a barrier for smaller businesses, compounded by the product's complexity. SAP Business Data Cloud uses a subscription model with varied access levels, offering competitive ROI within SAP ecosystems, though both platforms face feedback on high costs with calls for more competitive pricing strategies.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
There is a return on investment with SAP Business Data Cloud, as it saves money because it performs results quickly and easily, facilitating integrations and speeding up operations compared to other analytics tools, thereby saving time and money.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
For example, when I provide a set of instructions, they often simply ask me to implement those steps without checking whether they are applicable.
In SAP's policy, for the first couple of years, the product team is also part of the support team.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.
There are no limitations in terms of scale, so it fits both SMB customers and enterprise customers.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
Other than during these quarterly release periods, the availability is excellent.
In a typical quarter, the availability has been over 99%; in a few cases, it dropped to around 98.5%.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.
The pricing for SAP Business Data Cloud is higher compared to alternatives.
From my experience, SAS Data Management is an expensive tool.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 0.9% |
| SAS Data Management | 1.3% |
| Other | 97.8% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 19 |
| Large Enterprise | 49 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
SAP Business Data Cloud provides cloud-based predictive analysis, robust visualization, and integrated planning capabilities with seamless SAP integration. It enhances analytics and reporting efficiency with machine learning and AI features.
SAP Business Data Cloud stands out with its user-friendly application design, leveraging TypeScript scripting for flexibility. It enables easy data integration, customizable dashboards, and collaborative planning. Renowned for its seamless connectivity and comprehensive business intelligence offerings, it is designed to support real-time analytics and planning across both on-prem and cloud environments. Improvements are anticipated in visualization features, connectivity, and third-party system integration, with calls for more customizable chart options and real-time reporting capabilities.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud serves industries by powering cloud-based reporting, analytics, financial planning, and executive dashboards. Companies utilize it to integrate SAP and non-SAP data sources for insights and forecasts. It is applied in constructing dashboards, boardroom presentations, budgeting, and predictive analytics, supporting versatile use cases across multiple sectors.
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
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