Palantir Foundry vs Pentaho Data Integration and Analytics comparison

Palantir and Hitachi Vantara are both solutions in the Data Integration category. Palantir is ranked #14 with an average rating of 7.8, while Hitachi Vantara is ranked #19 with an average rating of 7.7. Palantir holds a 3.2% mindshare in DI, compared to Hitachi Vantara’s 1.8% mindshare. Additionally, 88% of Palantir users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

Palantir Foundry

Read 17 Palantir Foundry reviews

4,660 Views
2,088 Comparison Views

88% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

1,932 Views
1,035 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: May 2025).

Buyer's Guide

Palantir Foundry vs. Pentaho Data Integration and Analytics

May 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

14th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

Pentaho Data Integration an...

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Palantir Foundry is 3.2%, up from 2.5% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.8%, up from 0.8% 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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Aqeel UR Rehman

BI Analyst at a computer software company with 51-200 employees

Transform data efficiently with rich features but there's challenges with large datasets

Currently, I am using Pentaho Data Integration for transforming data and then loading it into different platforms. Sometimes, I use it in conjunction with AWS, particularly S3 and Redshift, to execute the copy command for data processing Pentaho Data Integration is easy to use, especially when…

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Quotes from Members

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

Pros

"The solution offers very good end-to-end capabilities."

"It's scalable."

"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."

"The interface is really user-friendly."

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

"The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries."

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

More Palantir Foundry pros

"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."

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

"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

"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."

"It has improved our data integration capabilities."

"It's my understanding that the product can scale."

"The solution offers features for data integration and migration. Pentaho Data Integration and Analytics allows the integration of multiple data sources into one. The product is user-friendly and intuitive to use for almost any business."

"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."

More Pentaho Data Integration and Analytics pros

Cons

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

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

"The workflow could be improved."

"Some error messages can be very cryptic."

"The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users."

"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."

"Difficult to receive data from external sources."

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

More Palantir Foundry cons

"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."

"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."

"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."

"Larger data jobs take more time to execute."

"There is not a data quality or MDM solution in the Pentaho DI suite."

"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."

"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."

"I experience difficulties when handling millions of rows, as the data movement from one source to another becomes challenging."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"Palantir Foundry is an expensive solution."

"It's expensive."

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

"The solution’s pricing is high."

"There is a good open source option (Community Edition)."

"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."

"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."

"If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"

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

"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."

"Sometimes we provide the licenses or the customer can procure their own licenses. Previously, we had an enterprise license. Currently, we are on a community license as this is adequate for our needs."

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

10%

Computer Software Company

Government

Financial Services Firm

21%

Computer Software Company

14%

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?

Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything out...

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What is your primary use case for Palantir Foundry?

One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves hig...

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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 7% of the time

Palantir Gotham vs Palantir Foundry

Compared 5% of the time

Aera vs Palantir Foundry

Compared 4% of the time

SAP Data Services vs Palantir Foundry

Compared 4% of the time

AWS Glue vs Palantir Foundry

Compared 4% of the time

More Palantir Foundry Competitors

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

Compared 16% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 10% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 9% of the time

Azure Data Factory vs Pentaho Data Integration and Analytics

Compared 8% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

Palantir Foundry

June 2025

Download Palantir Foundry product report

Buyer's Guide

Pentaho Data Integration and Analytics

June 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

May 2025

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