We performed a comparison between IBM InfoSphere DataStage and Mule Anypoint Platform 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."It works with multiple servers and offers high availability."
"I am impressed with the tool's ETL tracing."
"We like the flexibility of modeling."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too."
"The solution is very easy to use."
"The data lineage report can be filtered for reporting. The reports are user-friendly and take less time to find what you need."
"The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily."
"The flexibility has been great overall."
"The ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"This is the easiest and best tool available."
"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."
"The integration potential is excellent."
"Overall, it is a pretty good product. It is also very scalable."
"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 initial setup is quite easy because the solution has a good interface through which the configuration, mapping, and so on can be done."
"The solution can be a bit more user-friendly, similar to Informatica."
"It would be useful to provide support for Python, AR, and Java."
"The solution should be more user-friendly."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component."
"The initial setup could be more straightforward."
"It takes a lot of time to actually trigger your job and then go into the logs and other stuff. So all of this is really time-consuming."
"Currently lacking virtualization ability."
"Its documentation needed a little bit of work to make it more usable. It is a platform that is used mainly by developers and other people for connecting systems. Its documentation was confusing in some areas and was not very helpful in other areas. I had to go to a consultant to get some work done, which ideally shouldn't be required."
"Lacks intelligent management data and intelligent mappings."
"The solution's licensing methodologies 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."
"This becomes an expensive solution over time."
"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."
"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."
IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 40 reviews. IBM InfoSphere DataStage is rated 7.8, while Mule Anypoint Platform is rated 8.2. The top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". On the other hand, the top reviewer of Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service, SAP Process Orchestration and SAP Cloud Platform. See our IBM InfoSphere DataStage vs. Mule Anypoint Platform report.
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