Palantir Foundry vs Pentaho Data Integration and Analytics comparison

Palantir and Hitachi Vantara are both solutions in the Data Integration category. Palantir is ranked #13 with an average rating of 8.0, while Hitachi Vantara is ranked #7 with an average rating of 7.6. Palantir holds a 2.1% mindshare in DI, compared to Hitachi Vantara’s 1.7% mindshare. Additionally, 88% of Palantir users are willing to recommend the solution, compared to 95% of Hitachi Vantara users who would recommend it.

Palantir Foundry

Read 18 Palantir Foundry reviews

11,675 Views
4,904 Comparison Views

88% willing to recommend

Pentaho Data Integration an...

Read 60 Pentaho Data Integration and Analytics reviews

5,702 Views
4,562 Comparison Views

95% 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 2026).

Buyer's Guide

Palantir Foundry vs. Pentaho Data Integration and Analytics

May 2026

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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

13th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)

Pentaho Data Integration an...

Ranking in Data Integration

7th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.1%, down from 2.8% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.7%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Pentaho Data Integration and Analytics	1.7%
Palantir Foundry	2.1%
Other	96.2%

Data Integration

Featured Reviews

Sai Arun Bandhakavi

Associate Vice President at a insurance company with 10,001+ employees

Unified data workflows have empowered collaborative analytics and streamlined AI development

Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

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Michelle Lawson

Principal Software Engineer at a tech vendor with 10,001+ employees

Streamlines complex data workflows and has supported automated customer payment notifications

I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.

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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

"It's scalable."

"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."

"The data lineage is great."

"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."

"I rate Palantir Foundry a ten out of ten."

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

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

"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."

More Palantir Foundry pros

"Lumada Data Integration definitely helps with decision-making for our deans and upper executives, and the fact that we're able to reuse some of the ETLs with the metadata injection saves us time and costs while making it a pretty quick process for our developers to learn and pick up ETLs from each other."

"I love the fact that we haven't come up with a problem yet that we haven't been able to address with this tool."

"It's very simple compared to other products out there."

"Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us."

"Before we used Pentaho, our processes were in Microsoft Excel and the updates from databases had to be done manually, but now all our routines are done automatically and we have more time to do other jobs, saving us four or five hours daily."

"My advice for anybody who is considering this product is if they're looking for any kind of custom transformation, or they're gleaning data from multiple sources and sending it to multiple destinations, I definitely recommend this tool."

"We have seen at least 30% savings in terms of effort, which has helped us to price our service and products more aggressively in the market and win more clients."

"We have been able to expose data services through the use of CDA relying on the same database as the reporting tools, thus avoiding inconsistencies among the data shown by reports and data acquired by external systems."

More Pentaho Data Integration and Analytics pros

Cons

"Difficult to receive data from external sources."

"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."

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

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

"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."

"The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has."

"If you want to create new models on specific data sets, computing that is quite costly."

"Cost of this solution is quite high."

More Palantir Foundry cons

"The initial version we were on was v3.2 and we had multiple issues, but currently don't find any issues as a blocker."

"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."

"The support from Hitachi is not the greatest, the fixing of bugs can take a really long time."

"Support for common Hadoop utilities can be expanded, such as bulk load with composite row keys for HBase, and include drivers for Impala out-of-the-box."

"The only complaint that I have with Pentaho has been with scaling."

"Their technical support is not good. I would rate them 2 out of 10 because they don't have good technical skills to solve problems."

"While Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle."

"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 cons

Pricing and Cost Advice

"It's expensive."

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

"The solution’s pricing is high."

"Palantir Foundry is an expensive solution."

"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."

"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"

"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."

"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."

"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."

"The pricing has been pretty good. I'm used to using everything open-source or freeware-based. I understand that organizations need to make sure that the solutions are secure, and that's basically where I hit a roadblock in my current organization. They needed to ensure that we had a license and we had a secure way of accessing it so that no outside parties could get access to our data, but in terms of pricing, considering how much other teams are spending on cloud solutions or even their existing solutions, its price point is pretty good. At this time, there are no additional costs. We just have the licensing fees."

"I mostly used the open-source version. I didn't work with a license."

"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

13%

Financial Services Firm

Government

University

Financial Services Firm

15%

Educational Organization

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	5
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	31

Questions from the Community

What needs improvement with Palantir Foundry?

See all answers

What is your primary use case for Palantir Foundry?

There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...

See all answers

What advice do you have for others considering Palantir Foundry?

The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...

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

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Compared 6% of the time

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Compared 4% of the time

Palantir Gotham vs Palantir Foundry

Compared 3% of the time

MuleSoft Anypoint Platform vs Palantir Foundry

Compared 3% of the time

Databricks vs Palantir Foundry

Compared 3% of the time

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Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 12% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 8% of the time

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

Compared 7% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 6% of the time

StreamSets vs Pentaho Data Integration and Analytics

Compared 5% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

Palantir Foundry

April 2026

Download Palantir Foundry product report

Buyer's Guide

Pentaho Data Integration and Analytics

April 2026

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 offers intuitive data management and application development, prioritizing accessibility through low-code/no-code tools, enabling users to integrate, analyze, and collaborate efficiently.

Palantir Foundry centers on user accessibility, data governance, and real-time capabilities, streamlining processes with low-code/no-code development. It supports comprehensive data analysis and integration, enhanced by digital twin features that align virtual and physical interactions. Despite high costs and performance challenges with large datasets, it remains a prime choice for sectors needing structured and unstructured data integration. Key areas include robust data security, lineage tracking, and predictive analytics, promoted through a unified management platform adaptable to diverse needs.

What are the key features of Palantir Foundry?

User-friendly interface enabling easy data governance and automation.
Real-time integration with strong data analysis and collaboration tools.
Low-code/no-code development to widen accessibility.
Digital twin capabilities for bi-directional process integration.
Strong data lineage, predictive analytics, and visualization tools.
Flexibility and customization options.

What benefits and ROI could reviews highlight?

Improved decision-making through enhanced data visibility.
Increased efficiency with automated data processes.
Broader accessibility to data insights via low-code options.
Enhanced collaboration and integration between departments.
Potential cost savings through streamlined operations.

In manufacturing, Palantir Foundry aids in engineering pipeline models and semantic frameworks, while utilities utilize its analytics to enhance service delivery. Insurance firms leverage its capability to assess and predict customer behavior. Throughout these industries, Foundry integrates across cloud environments, bridging structured and unstructured data from various sources.

Palantir

Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.

With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.

What are the key features of Pentaho Data Integration and Analytics?

Drag-and-Drop Interface: Simplifies building workflows without coding.
Broad Data Support: Accommodates SQL, NoSQL, Hadoop, CSV, and JSON.
Advanced Automation: Leverages metadata injection and API integration.
Cost-Effectiveness: Offers value with comprehensive big data support.

What benefits should be evaluated in Pentaho reviews?

Versatility: Supports both on-premises and cloud solutions.
Data Integration: Facilitates seamless connection of disparate data sources.
Transparency: Enhances data management and reporting.
Scalability: Adapts to the growing data needs of organizations.

Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.

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 2026

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