We performed a comparison between Confluent and SAP Data Services based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The monitoring module is impressive."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"Their tech support is amazing; they are very good, both on and off-site."
"The design of the product is extremely well built and it is highly configurable."
"The solution can handle a high volume of data because it works and scales well."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"The logic is also simple. It makes it easy to build your extraction."
"The initial setup is not complex."
"The solution is easy to use since it's a graphical tool. It also requires only low-level coding."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"The maintenance of data services is the solution's most valuable feature."
"The most valuable feature of SAP Data Services is the integration with data sources."
"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."
"Confluent's price needs improvement."
"The pricing model should include the ability to pick features and be charged for them only."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"In Confluent, there could be a few more VPN options."
"There is no local support team in Saudi Arabia."
"It could have more integration with different platforms."
"The formatting aspect within the page can be improved and more powerful."
"They should remove Zookeeper because of security issues."
"Source code control is another headache. When your source code base gets too large, managing the source code becomes cumbersome."
"The execution engines and processing engines have shortcomings and need improvements."
"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."
"The pricing of the solution should be improved."
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"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."
"In the future, Data Services should offer a cloud version."
"They could make it easier to work with web services."
Confluent is ranked 3rd in Streaming Analytics with 19 reviews while SAP Data Services is ranked 10th in Data Integration with 45 reviews. Confluent is rated 8.4, while SAP Data Services is rated 8.0. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of SAP Data Services writes "Responsive support, scalable, and beneficial integration". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas SAP Data Services is most compared with Azure Data Factory, Syniti Data Quality, Informatica PowerCenter, SAP Process Orchestration and Palantir Foundry. See our Confluent vs. SAP Data Services report.
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