We performed a comparison between StreamSets and Talend Data Management Platform 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 UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily."
"It is really easy to set up and the interface is easy to use."
"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"
"In StreamSets, everything is in one place."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."
"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."
"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."
"The solution can run on any machine and that is a big advantage."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"We can develop our own code if we do not see the functionality we need."
"The basic tools are easy to pick up and understand."
"The solution is very user-friendly and easy to understand."
"I like everything about this product, but the biggest thing is the ease of use."
"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."
"The most valuable feature is integration."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."
"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."
"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"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."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"The product must enhance the data quality."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"We'd like to see more connectors it the future."
"They lack in memory capacity."
"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."
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StreamSets is ranked 8th in Data Integration with 23 reviews while Talend Data Management Platform is ranked 20th in Data Integration with 17 reviews. StreamSets is rated 8.4, while Talend Data Management Platform is rated 8.4. 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 Talend Data Management Platform writes "Built for everything and packed with features but there are some monitoring limitations". StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and Oracle GoldenGate, whereas Talend Data Management Platform is most compared with Talend Open Studio, Talend Data Fabric, SAP Data Services, Collibra Catalog and SSIS. See our StreamSets vs. Talend Data Management Platform report.
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