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 is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"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 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 exchange and API management features are the best in the market."
"The flexibility has been great overall."
"Mule Anypoint Platform is our preferred platform for integration."
"It can scale."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"It's my understanding that the product can scale."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"It has improved our data integration capabilities."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."
"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."
"I would like to see some data integration and automation."
"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."
"Lacks intelligent management data and intelligent mappings."
"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 high price of the product is an area of concern where improvements are required."
"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."
"The pricing can be a little bit less."
"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."
"I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool..."
"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."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram. We would like to gather data from modern platforms using Lumada, which is a better approach. As a comparison, if you open Power BI to retrieve data, then you can get data from many vendors with cloud-native connectors, such as Azure, AWS, Google BigQuery, and Athena Redshift. Lumada should have more native connectors to help us and facilitate our job in gathering information from these new modern infrastructures and tools."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"A big problem after deploying something that we do in Lumada is with Git. You get a binary file to do a code review. So, if you need to do a review, you have to take pictures of the screen to show each step. That is the biggest bug if you are using Git."
More Pentaho Data Integration and Analytics Pricing and Cost Advice →
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.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
