We performed a comparison between Mule Anypoint Platform and Pentaho Data Integration and Analytics 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."Mule works very well with Salesforce and CRMs."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"This is the easiest and best tool available."
"The solution's deployment and proxy processes are very good."
"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."
"It is very easy to use for building connectors. It comes with a lot of connectors. For example, it has different adapters for NetSuite, which are very easy to use. It also has Salesforce connectors. The object store feature is also really easy to use. Mule Anypoint Platform is also good in terms of performance and how it is managed behind the scenes."
"The exchange and API management features are the best in the market."
"The product is very user-friendly."
"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."
"Its drag-and-drop interface lets me and my team implement all the solutions that we need in our company very quickly. It's a very good tool for that."
"Lumada has allowed us to interact with our employees more effectively and compensate them properly. One of the cool things is that we use it to generate commissions for our salespeople and bonuses for our warehouse people. It allows us to get information out to them in a timely fashion. We can also see where they're at and how they're doing."
"The fact that it enables us to leverage metadata to automate data pipeline templates and reuse them is definitely one of the features that we like the best. The metadata injection is helpful because it reduces the need to create and maintain additional ETLs. If we didn't have that feature, we would have lots of duplicated ETLs that we would have to create and maintain. The data pipeline templates have definitely been helpful when looking at productivity and costs."
"Provides a good open source option."
"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."
"It's very simple compared to other products out there."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"The platform's data integration tools need improvement on the processing side."
"Mule Anypoint Platform could improve by having better integration with MDM. There are challenges when doing the interaction at this time."
"Mule should have better B2B integration."
"Adding connectors for new upcoming applications would add extra value to this product."
"The stability could be better."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"I would like to see more improvements with AS400 DB2."
"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"If you develop it on MacBook, it'll be quite a hassle."
"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
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Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 40 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. Mule Anypoint Platform is rated 8.2, while Pentaho Data Integration and Analytics is rated 8.0. 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 Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". 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 Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our Mule Anypoint Platform vs. Pentaho Data Integration and Analytics report.
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