We performed a comparison between IBM App Connect and StreamSets based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Technical support is good."
"It has different type of interfaces that can integrate with companies."
"It's stable to use, connect with the cloud, and to deploy."
"The most valuable feature is the user-friendliness of the application."
"There is a friendly interface for configuration, and integration is made easy."
"It has an efficient design flow."
"Provides good security features."
"The most valuable feature is the security."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"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."
"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"
"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."
"It is really easy to set up and the interface is easy to use."
"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 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."
"IBM App Connect is scalable. From the administration side, they need to improve the RBAC model, as well as the clustering of this product. It will be good if we can start up the cluster, via IBM Connect Console. Some other products like MuleSoft, are providing this type of administration. MuleSoft is easy to use and user friendly."
"One more important point is that if IBM improves its CI/CD capabilities, it will make a big difference. Right now, I have to create my own CI/CD setup from scratch for every client, which is inefficient."
"More connectors could be available for the product as some of the third-party software doesn't have default connectors."
"IBM App Connect should improve security features."
"It is not easy to deploy. It requires someone with a high level of knowledge in the solution to deploy it, not just anyone can do it."
"The interface could be better."
"The product should improve its support."
"In the next release, I would like to get some quality connectors."
"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."
"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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
IBM App Connect is ranked 11th in Cloud Data Integration with 21 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. IBM App Connect is rated 8.2, while StreamSets is rated 8.4. The top reviewer of IBM App Connect writes "Offers flexible adapters, good scalability but logging can be difficult at times". 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". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, IBM InfoSphere DataStage and TIBCO BusinessWorks, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage. See our IBM App Connect vs. StreamSets report.
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We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
