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."The product’s ability to seamlessly translate protocols is great."
"The most valuable features for us are flexibility, all the features related to connectivity with multiple connectors to the business, and the flexibility of on-premises and cloud deployments."
"The monitoring capabilities of this product are very good because of the feedback it supplies in statistics."
"API management."
"The tool's visual features are attractive."
"The most valuable feature is their integrations and very good API management."
"The community manager is the standout feature of the Mule Anypoint Platform, as it provides a platform to showcase your API to external parties. It is exceptionally user-friendly and enables external parties to easily utilize and consume the APIs."
"MuleSoft Anypoint Platform's most valuable features are its observability and stability."
"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."
"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 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."
"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."
"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 best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."
"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 best feature that I really like is the integration."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"The solution's licensing methodologies could be improved."
"It should give better control over account management."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"One area we'd like to see improvement in is the error logging and troubleshooting process."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."
"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."
"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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"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."
"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."
"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."
"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."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 41 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, SSIS and webMethods Integration Server. See our Mule Anypoint Platform vs. StreamSets report.
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