We performed a comparison between Matillion ETL 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."Matillion ETL has great Git integration that is perfect and convenient to use."
"It is pretty user-friendly, even for people who aren't super technical."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"It has good integrations with Amazon Redshift and other AWS services."
"The product has a good user interface."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"The solution has a free to use community version."
"It's my understanding that the product can scale."
"The abstraction is quite good."
"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."
"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 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."
"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."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"The product must enhance its near-real-time data capture feature."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"The cost of the solution is high and could be reduced."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"It needs integration with more data sources."
"The tool's lineage is very weak."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"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."
"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."
"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."
"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."
"I would like to see more improvements with AS400 DB2."
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."
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Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. Matillion ETL is rated 8.6, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". 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". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, 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 Matillion ETL vs. Pentaho Data Integration and Analytics report.
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