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."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."
"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."
"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"The most valuable features are the option of integration with a variety of protocols, languages, and origins."
"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 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."
"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."
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The most valuable feature is the data loading and scripting language"
"The solution can run on any machine and that is a big advantage."
"I like everything about this product, but the biggest thing is the ease of use."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The solution is very user-friendly and easy to understand."
"We can develop our own code if we do not see the functionality we need."
"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."
"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."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."
"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."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"The documentation from version to version could be more accurate."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"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."
"They lack in memory capacity."
"The solution's memory sometimes bottlenecks and that can be challenging."
"Performance and speed could be improved."
"The sales and market department could improve the Talend Data Management Platform."
More Talend Data Management Platform Pricing and Cost Advice →
StreamSets is ranked 8th in Data Integration with 24 reviews while Talend Data Management Platform is ranked 22nd 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 IBM InfoSphere DataStage, 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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