Palantir Foundry vs Pentaho Data Integration and Analytics comparison

Palantir and Hitachi Vantara are both solutions in the Data Integration category. Palantir is ranked #19 with an average rating of 7.0, while Hitachi Vantara is ranked #22 with an average rating of 7.7. Palantir holds a 2.8% mindshare in DI, compared to Hitachi Vantara’s 1.6% mindshare. Additionally, 86% of Palantir users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

Palantir Foundry

Read 15 Palantir Foundry reviews

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3,034 Comparison Views

86% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

2,102 Views
1,065 Comparison Views

94% willing to recommend

Palantir Foundry

Pentaho Data Integration an...

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Palantir Foundry compete in the data integration and ETL solutions category. While Pentaho is favored for its cost-effectiveness and ease of use, Palantir Foundry has the upper hand with advanced features and stronger data visualization capabilities.

Features: Pentaho Data Integration is popular due to its open-source nature, ease of use, and support for various data formats and databases. Its intuitive interface allows users to develop ETL solutions with minimal coding. Palantir Foundry offers advanced data integration and seamless pipelining features. It includes strong data visualization capabilities and offers a comprehensive tech stack within a single platform.

Room for Improvement: Pentaho could benefit from better integration with specific databases and enhanced error logging. Improvements to the community version's features are also suggested. Users of Palantir Foundry find the solution expensive and seek better user documentation and frontend capabilities. Its integration with external systems could be more intuitive and detailed error messages are needed.

Ease of Deployment and Customer Service: Pentaho provides flexibility with on-premises and hybrid cloud deployments but relies heavily on community support for its non-enterprise version. Customer service response times vary. Palantir Foundry is primarily deployed in the public cloud, offering excellent customer service and technical support, although resolution of complex issues may take time.

Pricing and ROI: Pentaho Data Integration is noted for its cost-effectiveness, especially the free Community Edition. The enterprise version, though not free, remains affordable compared to competitors. Palantir Foundry is known for its high cost, perceived as justified by its extensive feature set and centralized tooling, providing value through contract negotiations for larger organizations.

To learn more, read our detailed Palantir Foundry vs. Pentaho Data Integration and Analytics Report (Updated: February 2025).

Buyer's Guide

Palantir Foundry vs. Pentaho Data Integration and Analytics

February 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Palantir Foundry

Ranking in Data Integration

19th

Average Rating

7.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

IT Operations Analytics (9th), Supply Chain Analytics (1st), Cloud Data Integration (14th), Data Migration Appliances (4th), Data Management Platforms (DMP) (2nd), Data and Analytics Service Providers (1st)

Pentaho Data Integration an...

Ranking in Data Integration

22nd

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Palantir Foundry is 2.8%, up from 2.7% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

A low-code/no-code platform with a user-friendly UI

We couldn't implement or use some of the latest functionalities, like Spark. Palantir Foundry is scalable, but it is costly compared to other cloud providers. The solution is more suitable for small and medium businesses. It might be difficult for large enterprises. I rate the solution’s scalability a seven out of ten.

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Ryan Ferdon

Senior Data Engineer at Burgiss

Low-code makes development faster than with Python, but there were caching issues

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. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Live video sessions enhance the available documentation and allow you to ask questions directly."

"The data lineage is great."

"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."

"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."

"Encapsulates all the components without the requirement to integrate or check compatibility."

"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."

"I like the data onboarding to Palantir Foundry and ETL creation."

"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."

More Palantir Foundry pros

"Provides a good open source option."

"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."

"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."

"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."

"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."

"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."

"Pentaho Data Integration is easy to use, especially when transforming data."

"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."

More Pentaho Data Integration and Analytics pros

Cons

"It requires a lot of manual work and is very time-consuming to get to a functional point."

"The workflow could be improved."

"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."

"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."

"The solution’s data security could be improved."

"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."

"The frontend capabilities of Palantir Foundry could be improved."

"Some error messages can be very cryptic."

More Palantir Foundry cons

"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."

"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 more improvements with AS400 DB2."

"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."

"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."

"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 product needs more plugins."

"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."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"It's expensive."

"Palantir Foundry is an expensive solution."

"Palantir Foundry has different pricing models that can be negotiated."

"The solution’s pricing is high."

"The solution reduced our ETL development time by a lot because a whole project used to take about a month to get done previously. After having Lumada, it took just a week. For a big company in Brazil, it saves a team at least $10,000 a month."

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."

"We did a two or three-year deal the last time we did it. As compared to other solutions, at least so far in our experience, it has been very affordable. The licensing is by component. So, you need to make sure you only license the components that you really intend to use. I am not sure if we have relicensed after the Hitachi acquisition, but previously, multi-year renewals resulted in a good discount. I'm not sure if this is still the case. We've had the full suite for a lot of years, and there is just the initial cost. I am not aware of any additional costs."

"I primarily work on the Community Version, which is available to use free of charge."

"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."

"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."

"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Computer Software Company

11%

Financial Services Firm

10%

Government

Financial Services Firm

21%

Computer Software Company

16%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Palantir Foundry?

Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.

See all answers

What needs improvement with Palantir Foundry?

The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.

See all answers

What is your primary use case for Palantir Foundry?

Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. ...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...

See all answers

What do you think can be improved with Hitachi Lumada Data Integrations?

In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...

See all answers

What do you use Hitachi Lumada Data Integrations for most frequently?

My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...

See all answers

Comparisons

Azure Data Factory vs Palantir Foundry

Compared 9% of the time

Palantir Gotham vs Palantir Foundry

Compared 5% of the time

SAP Data Services vs Palantir Foundry

Compared 5% of the time

Domo vs Palantir Foundry

Compared 4% of the time

Aera vs Palantir Foundry

Compared 4% of the time

More Palantir Foundry Competitors

Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 18% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 14% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 7% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 6% of the time

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Product Reports

Buyer's Guide

Palantir Foundry

March 2025

Download Palantir Foundry product report

Buyer's Guide

Pentaho Data Integration and Analytics

March 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.

Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.

Palantir Foundry includes tools to integrate data of any scale, format, or structure, and also has granular, flexible access controls for individual datasets. In addition, it has an open, modular architecture with multiple RESTful APIs, it has native applications for developing machine learning and artificial intelligence, it provides sophisticated data science applications for users of all technical abilities, and much more.

Palantir Foundry Features

The most valuable Palantir Foundry features include:

Security, flexibility, interoperability, easy deployment, built-in role classification, purpose-based access controls, interoperable architecture, model integration, AI modeling tools, ontology, custom workflows, team-specific applications, self-serve analytics, lineage system, operational application building, 200+ data connectors, data versioning, change management framework, sand decision orchestration, and custom dashboard and report building tools.

With Palantir Foundry You Can:

Accelerate development & operations
Collaborate globally
Save time on security
Reduce costs

Palantir Foundry Benefits

Some of the many Palantir Foundry benefits include:

Modular: Because Palantir Foundry is modular, it can integrate with existing infrastructure.
Granular governance: Robust data governance controls help ensure seamless compliance, auditability, and security.
Secure data sharing: The security infrastructure allows you to share data securely, within organizations and with chosen partners.
Rapid integration: Palantir Foundry can rapidly integrate models and data from data platforms into an operational ontology, and can also fuel existing data platforms.
Stand-alone deployment: Palantir Foundry can be deployed standalone and can provide all necessary capabilities for data connection, data integration, and model building.
Prevent lock-in: The data and model integration suites are designed to prevent lock-in, and assume that tools will be interoperating with Palantir Foundry as an organization grows.
No SQL necessary: Users do not have to use SQL queries or employ engineers to write strings in order to search petabytes of data. With Palantir Foundry, natural language is used to query data and results are returned in real-time.
Excellent data integration: Palantir Foundry provides secure, scalable, and resilient integration of all data sources.
Availability: The Palantir platform uses DNS routing, gateways and elastic load balancing to ensure availability. Dedicated accounts and virtual resources are used on a per customer basis.
Multiple metrics types: The Palantir platform provides hundreds of metrics. Some include average session length, drop-off rate, number of logins per user, number of accounts, and search speed.

Reviews from Real Users

PeerSpot users like Palantir Foundry because it has many advantages:

“It is user-friendly, good automation, and allows you to do a better job of data governance.” - Associate, Inhouse Consulting at a pharma/biotech company

“Works seamlessly with good end-to-end capabilities and the capability to scale.” - Wallace H., Sr. Director at a tech services company

Palantir

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

Hitachi Vantara

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

Buyer's Guide

Palantir Foundry vs. Pentaho Data Integration and Analytics

February 2025

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