We performed a comparison between BMC Data Management for IMS and DB2 on zOS and StreamSets based on real PeerSpot user reviews.
Find out what your peers are saying about Oracle, Quest Software, SolarWinds and others in Database Development and Management."BMC Data Management improved our data recovery process by simplifying it."
"I have worked with DB2's great features in the last five years. The IDAA feature transformed the vision of warehousing, business analytics, and big data at my bank. Besides the mainframe, I saw that this solution was evolutionary. It gives real-time information."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"The most valuable features are the option of integration with a variety of protocols, languages, and origins."
"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."
"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."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"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."
"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."
"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."
"DB2 is a hard tool to grasp. It's hard for users to learn how to use it. It's not easy to see how it works."
"One area for improvement with this product could be in providing clearer guidance and tools for disaster recovery planning and execution."
"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."
"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."
"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."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"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."
BMC Data Management for IMS and DB2 on zOS is ranked 21st in Database Development and Management with 2 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. BMC Data Management for IMS and DB2 on zOS is rated 8.6, while StreamSets is rated 8.4. The top reviewer of BMC Data Management for IMS and DB2 on zOS writes "Improves disaster recovery processes and offers an efficient CPU cycle optimization ". 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". BMC Data Management for IMS and DB2 on zOS is most compared with AWS Database Migration Service, Qlik Replicate, Dataloader.io and IBM App Connect, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and Oracle GoldenGate.
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