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."Extremely flexible for any kind of integration between systems."
"The iPaaS functionality is very mature. The browser based IDE is also very mature and stable."
"I really appreciate the on-the-go access through the browser and the B2B integration."
"I like the tool's optimization feature."
"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."
"It has been a stable product."
"This solution has a user-friendly interface and very good documentation with solutions that helped us in working with the tool efficiently."
"Boomi AtomSphere Integration is stable."
"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."
"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."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"The best feature that I really like is the integration."
"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 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."
"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."
"We encountered stability issues occasionally, one to two times a year."
"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."
"Have to create some of our own pre-built connectors."
"There are more mature (dedicated) API management and master data management (MDM) solutions available in the market."
"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."
"There is no validation in the mapping profile custom scripting, such as IntelliSense or advanced error checking."
"They should create a custom connector option. With this, they could improve where the user can create the connector, based on their usage."
"The deployment was simple, but the implementation is missing a lot of capabilities."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
"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."
"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 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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
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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