We performed a comparison between Mule Anypoint Platform and StreamSets based on real PeerSpot user reviews.Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"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."
"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."
"The monitoring capabilities of this product are very good because of the feedback it supplies in statistics."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"It can scale."
"It's easy to develop APIs."
"Overall, it is a pretty good product. It is also very scalable."
"The integration potential is excellent."
"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."
"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."
"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."
"In StreamSets, everything is in one place."
"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."
"The pricing can be a little bit less."
"We would like an entire DevOps in place in this particular solution."
"Code quality, Code Security, SaaS, and DaaS security, can all be improved."
"Adding connectors for new upcoming applications would add extra value to this product."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"It doesn't work well when you try using it for the processing layer."
"This becomes an expensive solution over time."
"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."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"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."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
With connectivity, composability, and control, Anypoint Platform solves the most challenging connectivity problems across SOA, SaaS, and APIs. It's a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.
StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.
Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
With StreamSets, you can deliver the continuous data that drives the connected enterprise.
Mule Anypoint Platform is ranked 1st in Business-to-Business Middleware with 18 reviews while StreamSets is ranked 11th in Data Integration Tools with 5 reviews. Mule Anypoint Platform is rated 8.0, while StreamSets is rated 8.4. The top reviewer of Mule Anypoint Platform writes "Constantly improving to help connect applications, data, and devices". On the other hand, the top reviewer of StreamSets writes "Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code". Mule Anypoint Platform is most compared with SAP Process Orchestration, Oracle Integration Cloud Service, TIBCO BusinessWorks, MuleSoft Composer and Mule ESB, whereas StreamSets is most compared with Informatica PowerCenter, SSIS, Oracle GoldenGate, Spring Cloud Data Flow and Azure Data Factory. See our Mule Anypoint Platform vs. StreamSets report.
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