We performed a comparison between Talend Data Management Platform and WSO2 Enterprise Integrator based on real PeerSpot user reviews.
Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."In StreamSets, everything is in one place."
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."
"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."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"I like everything about this product, but the biggest thing is the ease of use."
"The most valuable feature is the data loading and scripting language"
"It's a consolidated product. It works and it does its job pretty well."
"The installation process is easy."
"The drag-and-drop features for connectors are very valuable."
"I like the user-friendly system and development of the service-oriented architecture."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"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 logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"The setup can be difficult for those not familiar with the solution."
"I would like to see them bring back a feature, from earlier versions, that was very useful in debugging and finding issues."
"The customization can be a bit difficult."
"You cannot include the validation of XPath."
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Talend Data Management Platform is ranked 18th in Data Integration Tools with 2 reviews while WSO2 Enterprise Integrator is ranked 22nd in Data Integration Tools with 5 reviews. Talend Data Management Platform is rated 9.0, while WSO2 Enterprise Integrator is rated 8.4. The top reviewer of Talend Data Management Platform writes "Allows us to capture large volumes of data from multiple sources and load it to the data lake". On the other hand, the top reviewer of WSO2 Enterprise Integrator writes "Customizable, with good pricing and a good interface". Talend Data Management Platform is most compared with Talend Data Fabric, SAP Data Services, Talend Open Studio, IBM InfoSphere DataStage and Oracle Data Integrator (ODI), whereas WSO2 Enterprise Integrator is most compared with Red Hat Fuse, IBM Integration Bus, Spring Cloud Data Flow, Mule ESB and webMethods Integration Server. See our Talend Data Management Platform vs. WSO2 Enterprise Integrator report.
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