We performed a comparison between Mule Anypoint Platform 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."I have found several things most valuable, including its very quick implementation that you can use a lot of out of the box templates, and lastly that it is a very mature product, especially in hybrid integration."
"The product is very user-friendly."
"It has improved our organization a lot because of the increase in productivity, and it has simplified the development of products. MuleSoft Anypoint Platform is a highly effective tool where you can build integrations so effectively. If you establish the integration platform, it increases productivity. It helps us to do effective re-authentication, and it speeds the integration."
"API management."
"Overall, it is a pretty good product. It is also very scalable."
"The solution's deployment and proxy processes are very good."
"The API toolkit is the solution's most valuable aspect at this time, for our organization."
"MuleSoft offers with the Anypoint Platform a unified platform for API management and an integration Platform as a Service (iPaaS) as well as an on-premise Enterprise Service Bus pattern."
"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."
"The best feature that I really like is the integration."
"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."
"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."
"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."
"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."
"I would like to see some data integration and automation."
"Mule should have better B2B integration."
"The runtime management and connectors could use some work and are vulnerable to breakage after upgrades."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"In order to set up a storefront, we currently rely on a third-party solution. It would greatly enhance our operations if this feature was integrated into their existing solution."
"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."
"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."
"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."
"Visualization and monitoring need to be improved and refined."
"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."
"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."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."
"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."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 40 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Mule Anypoint Platform is rated 8.2, while StreamSets is rated 8.4. The top reviewer of Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". 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". Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service, SAP Process Orchestration and SAP Cloud Platform, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter and SSIS. See our Mule Anypoint Platform vs. StreamSets report.
See our list of best Cloud Data Integration vendors.
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.
