We performed a comparison between StreamSets and WSO2 Enterprise Integrator based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."
"It is really easy to set up and the interface is easy to use."
"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."
"It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated."
"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."
"The UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily."
"The best feature that I really like is the integration."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"The solution has two main parts: integration and transformation. It's very user-friendly and easy to understand for everyone."
"It was mostly easy to set up the product."
"I like the user-friendly system and development of the service-oriented architecture."
"The solution's customer service is good."
"The solution basically conforms to our standards."
"WSO2's analytics capability is good, considering the ELC support they provide."
"The productivity is the most valuable feature. It is very easy to write remediations."
"The customer service executives are very responsive."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"The data collector in StreamSets has to be designed properly. For example, a simple database configuration with MySQL DB requires the MySQL Connector to be installed."
"I would like to see further improvement in the UI. In addition, upgrades are not automatic and they should be automated. Currently, we have to manually upgrade versions."
"Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using."
"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."
"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."
"In my opinion, the administration model and interface, of Carbon, are lacking in terms of its features and user experience."
"There are a lot of security settings that when you apply you have to re-apply again every time you modify a setting. It is something that really needs to be enhanced."
"The micro integrator should be improved. There is room for enhancement considering alternative integration components."
"They should introduce better pricing for small companies."
"The setup can be difficult for those not familiar with the solution."
"WSO2 libraries are not mature enough. For example, if you want to integrate with Kafka using its Kafka library, it often has many bugs."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"They should release upgrades more frequently."
StreamSets is ranked 8th in Data Integration with 24 reviews while WSO2 Enterprise Integrator is ranked 19th in Data Integration with 18 reviews. StreamSets is rated 8.4, while WSO2 Enterprise Integrator is rated 7.6. The top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". On the other hand, the top reviewer of WSO2 Enterprise Integrator writes "Consolidated, reliable, and has responsive technical support". StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and Oracle GoldenGate, whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, IBM Integration Bus, Oracle Service Bus, webMethods Integration Server and Mule ESB. See our StreamSets vs. WSO2 Enterprise Integrator report.
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