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 ability to have a good bifurcation rate and fewer mistakes is valuable."
"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."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."
"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"
"The best feature that I really like is the integration."
"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."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"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 solution can run on any machine and that is a big advantage."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The most valuable feature is integration."
"We can develop our own code if we do not see the functionality we need."
"I like everything about this product, but the biggest thing is the ease of use."
"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."
"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 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."
"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."
"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."
"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."
"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"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 sales and market department could improve the Talend Data Management Platform."
"The product must enhance the data quality."
"The solution's memory sometimes bottlenecks and that can be challenging."
"We'd like to see more connectors it the future."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"The stability is good, but the performance is slower when I work on a huge amount of data."
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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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