We performed a comparison between SAP Data Services and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"The user interface is ok."
"The reporting on the data, even from third-party software, is very good."
"I have worked with Data Services for a long time, and currently, I find the dashboarding and reporting part to be the most valuable function."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The API tool in this product is very valuable; it is very easy to onboard and use."
"The maintenance of data services is the solution's most valuable feature."
"You can always manipulate a lot of things as long as you have the skill level."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The product is very user-friendly."
"The most valuable feature is real-time streaming."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"They could make it easier to work with web services."
"At the integration level, there could be certain set of improvement to connect to various other systems."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"In the future, Data Services should offer a cloud version."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
SAP Data Services is ranked 10th in Data Integration with 45 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. SAP Data Services is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.