We performed a comparison between Palantir Gotham and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."This solution is seamless. From one platform, we can do just about anything."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"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."
"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."
"This solution allows us to create pipelines using a minimal amount of custom coding."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"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."
"The amount of data that it loads and processes is good."
"The solution has a free to use community version."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
"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."
"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."
"I would like to see more improvements with AS400 DB2."
"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."
"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."
"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."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"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."
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Palantir Gotham is ranked 33rd in Data Integration with 1 review while Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews. Palantir Gotham is rated 8.0, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". 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". Palantir Gotham is most compared with Palantir Foundry, Stone Bond Enterprise Enabler, Azure Data Factory and SAS Data Management, whereas Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue.
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