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."This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."
"Mule works very well with Salesforce and CRMs."
"The most valuable features of the Mule Anypoint Platform are the Flex Gateway, API management, easy-to-use, and connectors. Additionally, they are coming out with improvements to the solution when required."
"The solution's market place for different kinds of integration platforms is the most valuable feature."
"The exchange and API management features are the best in the market."
"The most valuable feature of Mule Anypoint Platform is rapid development."
"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"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."
"The UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily."
"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."
"It is really easy to set up and the interface is easy to use."
"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 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."
"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."
"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."
"The cost of the product is an area of concern where improvements are required, especially when compared to other tools, like Dell Boomi or Oracle."
"We would like an entire DevOps in place in this particular solution."
"Adding connectors for new upcoming applications would add extra value to this product."
"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."
"The price could be improved."
"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."
"The pricing can be a little bit less."
"Code quality, Code Security, SaaS, and DaaS security, can all be improved."
"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 data collector in StreamSets has to be designed properly. For example, a simple database configuration with MySQL DB requires the MySQL Connector to be installed."
"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."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"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."
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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