We performed a comparison between Boomi iPaaS and StreamSets based on real PeerSpot user reviews.
Find out in this report how the two Integration Platform as a Service (iPaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Low-code development is the most valuable feature."
"It's very user-friendly and designed to be easy to use for the end user."
"It is easy to learn and implement."
"AtomSphere Integration will suit those looking for small automation and simple integrations."
"The Salesforce and NetSuite Application specific “connectors” provide a layer of abstraction on top of the SOAP-based APIs to streamline integration development."
"Boomi AtomSphere Integration is stable."
"The platform is user-friendly."
"This is a fairly easy-to-use tool for integration which can be self-taught for those with a bit of a technical background."
"The most valuable features are the option of integration with a variety of protocols, languages, and origins."
"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'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."
"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"
"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."
"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."
"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."
"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."
"In my experience, I haven't encountered any major issues with the tool. However, there could be a learning curve for new users, especially depending on which tool you're using. For example, I've used MuleSoft in the past, which is more code-oriented and requires knowledge of Java. Transitioning to Boomi AtomSphere Integration took me a couple of months because of differences in terminology."
"The solution is complex. There's a few items and features that are hard to understand. They should work to simplify the functionality so new users don't struggle."
"We encountered stability issues occasionally, one to two times a year."
"Documentation could be improved."
"In day-to-day operations, tracking transactions is a major challenge. It takes hours to track a single transaction. It is not a straightforward process."
"It is a costly platform. Its pricing could be better."
"They are lacking in some streaming features, and messaging features from a listener's point of view."
"There are still some areas that need improvement. For example, when updates are going on, the product becomes very slow."
"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."
"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"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."
"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."
"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."
"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."
"Using ETL pipelines is a bit complicated and requires some technical aid."
Boomi iPaaS is ranked 5th in Integration Platform as a Service (iPaaS) with 25 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Boomi iPaaS is rated 7.8, while StreamSets is rated 8.4. The top reviewer of Boomi iPaaS writes "Stable product, suitable for limited integrations and lacks flexibility ". On the other hand, the top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". Boomi iPaaS is most compared with Microsoft Azure Logic Apps, webMethods Integration Server, SSIS, Oracle Integration Cloud Service and AWS Glue, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage. See our Boomi iPaaS vs. StreamSets report.
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