

StreamSets and SAP Business Data Cloud compete in the data integration and analytics category. StreamSets seems to have the advantage in terms of deployment flexibility and customer service responsiveness, while SAP Business Data Cloud offers a more comprehensive feature set within the SAP ecosystem.
Features: StreamSets provides powerful tools for ETL processes and data pipeline management, with features like data drift resilience, easy configuration, and minimal coding requirements. It handles large-scale data processing well, with built-in connectors for various databases and systems. SAP Business Data Cloud offers integrated BI, predictive analytics, and planning capabilities, allowing seamless connection with SAP systems, robust visualization tools, and self-service analytics.
Room for Improvement: StreamSets faces challenges with large volume processing and requires some coding knowledge, which can be a barrier for non-technical users. There are performance issues, particularly with JDBC operations, and a need for faster data processing and better error logging. SAP Business Data Cloud needs improvements in visualization features and easier integration with third-party systems, along with more comprehensive analytics and expanded connectivity options for non-SAP systems.
Ease of Deployment and Customer Service: StreamSets offers flexible deployment in hybrid and public clouds and is praised for its responsive customer service, though some users experience delays. SAP Business Data Cloud supports similar deployment environments and is lauded for its cloud integration capabilities, but deployment can be complex, and users suggest more streamlined support options.
Pricing and ROI: StreamSets offers various pricing models, including a free version, making it attractive for small to medium enterprises with a focus on data integration, with users reporting significant time and resource savings. SAP Business Data Cloud operates on a subscription model, which is considered expensive, especially for advanced functionalities, yet provides good value within the SAP ecosystem. While StreamSets users report strong ROI from efficiency gains, SAP users value the integrated analytics despite the higher costs.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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.
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 0.9% |
| StreamSets | 1.2% |
| Other | 97.9% |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 19 |
| Large Enterprise | 51 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
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.
StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.
StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.
What are the key features of StreamSets?In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.
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