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."The tool's visual features are attractive."
"The exchange and API management features are the best in the market."
"Overall, it is a pretty good product. It is also very scalable."
"The most valuable feature of the solution is a huge list of available connectors for a lot of different platforms, which we can use very easily."
"This is the easiest and best tool available."
"The integration potential is excellent."
"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 most valuable feature is their integrations and very good API management."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"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."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"The abstraction is quite good."
"The graphical nature of the development interface is most useful because we've got people with quite mixed skills in the team. We've got some very junior, apprentice-level people, and we've got support analysts who don't have an IT background. It allows us to have quite complicated data flows and embed logic in them. Rather than having to troll through lines and lines of code and try and work out what it's doing, you get a visual representation, which makes it quite easy for people with mixed skills to support and maintain the product. That's one side of it."
"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."
"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."
"The pricing can be a little bit less."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."
"Lacks intelligent management data and intelligent mappings."
"I would like to see some data integration and automation."
"One area we'd like to see improvement in is the error logging and troubleshooting process."
"The solution's licensing methodologies could be improved."
"The stability could be better."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"I would like to see improvement when it comes to integrating structured data with text data or anything that is unstructured. Sometimes we get all kinds of different files that we need to integrate into the warehouse."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."
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Mule Anypoint Platform is ranked 3rd in Cloud Data Integration with 39 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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