

Azure Data Factory and SAP Business Data Cloud compete in the data integration and analytics category. Azure Data Factory has the upper hand due to its extensive connectors and seamless integration capabilities, making it a preferred choice for managing ETL pipelines and data transformations.
Features: Azure Data Factory is known for its flexibility, scalability, and numerous connectors that facilitate seamless integrations with other Azure services. It is also praised for its robust monitoring and deployment abilities. On the other hand, SAP Business Data Cloud offers advanced predictive analytics, strong data visualization, and planning features, making it ideal for comprehensive data management within the SAP ecosystem.
Room for Improvement: Azure Data Factory could enhance its speed and improve documentation while simplifying its pricing model. Users also emphasize the need for more third-party integrations and connectors. SAP Business Data Cloud requires improved connectivity with non-SAP systems and better visualization options. Additionally, there is a need to enhance real-time integration features to compete with other analytics tools.
Ease of Deployment and Customer Service: Azure Data Factory is noted for its ease in public cloud deployment and satisfactory integration with Azure services. While technical support is considered acceptable, it sometimes experiences delayed response times. SAP Business Data Cloud takes advantage of its SAP environment integration, although it lacks immediate customer assistance, which leads some users to seek community-based support.
Pricing and ROI: Azure Data Factory offers cost-effective, flexible pricing models, mainly pay-as-you-go, appreciated for being affordable for medium-sized businesses. Despite being more economical, it provides a substantial return on investment. SAP Business Data Cloud, although considered expensive, provides good value within SAP-centric environments. Its price can be prohibitive for smaller enterprises.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
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 from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
They are not slow on responding or very informative.
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.
Azure Data Factory is highly scalable.
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.
The solution has a high level of stability, roughly a nine out of ten.
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%.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
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.
The pricing is cost-effective.
It is considered cost-effective.
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.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
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.
| Product | Mindshare (%) |
|---|---|
| Azure Data Factory | 5.3% |
| SAP Business Data Cloud | 2.8% |
| Other | 91.9% |

| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 20 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 19 |
| Large Enterprise | 49 |
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
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.
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