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 ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"The product’s ability to seamlessly translate protocols is great."
"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 tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"API management."
"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 most valuable feature is the variety of characters Anypoint Platform has. It is very scalable and customizable."
"The initial setup is quite easy because the solution has a good interface through which the configuration, mapping, and so on can be done."
"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 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 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."
"It is really easy to set up and the interface is easy to use."
"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."
"Important features include that it comprises lots of functionality to connect data from various sources through connector availability, scheduling pipelines at any time, and integration with third-party and security solutions for encryption."
"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 best feature that I really like is the integration."
"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."
"MuleSoft's release calendar is rather conventional with two major, two minor releases and hotfixes in between. The competition sometimes offer more rapid release cycles and provides improved and new functionality with a faster time-to-market."
"The high price of the product is an area of concern where improvements are required."
"The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."
"We would like an entire DevOps in place in this particular solution."
"Mule should have better B2B integration."
"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."
"The solution is very expensive. They need to work on the pricing."
"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."
"Visualization and monitoring need to be improved and refined."
"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."
"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 logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"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."
"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."
"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 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, SAP Process Orchestration, Oracle Integration Cloud Service and SAP Cloud Platform, whereas StreamSets is most compared with Fivetran, Informatica PowerCenter, Azure Data Factory, SSIS and webMethods Integration Server. See our Mule Anypoint Platform vs. StreamSets report.
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