Palantir Gotham vs Pentaho Data Integration and Analytics comparison

Why PeerSpot?

Palantir and Hitachi Vantara are both solutions in the Data Integration category. Palantir is ranked #57, while Hitachi Vantara is ranked #8 with an average rating of 7.7. Palantir holds a 0.8% mindshare in DI, compared to Hitachi Vantara’s 1.9% mindshare. Additionally, 100% of Palantir users are willing to recommend the solution, compared to 95% of Hitachi Vantara users who would recommend it.

Palantir Gotham

Read 1 Palantir Gotham review

2,781 Views
2,503 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 61 Pentaho Data Integration and Analytics reviews

10,001 Views
7,901 Comparison Views

95% willing to recommend

Palantir Gotham

Pentaho Data Integration an...

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Executive Summary

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 Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

Buyer's Guide

Data Integration

October 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 Gotham

Ranking in Data Integration

57th

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Pentaho Data Integration an...

Ranking in Data Integration

8th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Palantir Gotham is 0.8%, up from 0.8% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.9%, 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	1.9%
Palantir Gotham	0.8%
Other	97.3%

Data Integration

Featured Reviews

Wallace Hugh

Manager at a tech services company with 201-500 employees

A seamless all-in-one solution

This solution is seamless. From one platform, we can do just about anything. With other solutions, you'll need a separate platform for data ingestion, manipulation, etc. Then you'll need another tool for reporting. Palantir Gotham literally does it all. It generates a report regardless of the format. It can seamlessly generate it after the data has been collected.

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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.

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

"This solution is seamless. From one platform, we can do just about anything."

"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."

"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."

"When I started doing it and did the migration so that all that ETL process would be done in Pentaho Data Integration and Analytics, I reduced the processing time from two and a half hours per run to seven minutes."

"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."

"When we get a question from our CEO that needs a response and that requires a little bit of legwork of pulling in from various market data, our own in-house repositories, and everything else, it allows me to arrive at the solutions much faster than having to do it through scripting in Python, coding, or anything else."

"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."

"Overall it is an awesome tool."

"Easy to use, support for all databases (jdbc and odbc connection), xls, csv, files, txt, SAS, R."

More Pentaho Data Integration and Analytics pros

Cons

"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

"The stability is not great, especially when you start patching it a lot because things get broken."

"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."

"Overall, our Hitachi solution was quite good, but over the last couple of years, we have been trying to move away from the product due to a number of things."

"Searching repository for reports or dashboards"

"I would like to see more improvements with AS400 DB2. I journalled the tables/instance and the data migration is too slow if I compare it with other databases."

"I would like to have more languages/scripts supported in user-defined classes."

"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."

"Regarding the features, I find many issues using Pentaho Data Integration and Analytics when working with different environments, especially development environments and production environments, where I have faced many issues working with two environments."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

"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."

"The price of the regular version is not reasonable and it should be lower."

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

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

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

"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."

"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."

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Comms Service Provider

12%

Manufacturing Company

12%

Outsourcing Company

10%

Computer Software Company

Financial Services Firm

11%

Outsourcing Company

11%

Construction Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	18
Midsize Enterprise	17
Large Enterprise	32

Questions from the Community

Ask a question

Earn 20 points

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 5% of the time

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Compared 5% of the time

Oracle Data Integrator (ODI) vs Palantir Gotham

Compared 2% of the time

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Compared 8% of the time

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Compared 7% of the time

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

Compared 7% of the time

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 7% of the time

StreamSets vs Pentaho Data Integration and Analytics

Compared 5% of the time

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Product Reports

Buyer's Guide

Data Integration

October 2026

Download Palantir Gotham product report

Buyer's Guide

Pentaho Data Integration and Analytics

October 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 Gotham is a data integration and analysis platform designed to enable organizations to manage, interpret, and act on complex data sets. It is widely used for security, intelligence, and operations optimization.

Palantir Gotham offers robust features for integrating disparate data sources, ensuring real-time collaboration and enhancing decision-making processes. It enables users to resolve data silos, derive actionable insights, and streamline workflow with precision and privacy controls. Trusted by government and commercial sectors, it seamlessly delivers on mission-critical data challenges, enabling timely, informed decisions.

What are the standout features of Palantir Gotham?

Data Integration: Connects various data sources for seamless data aggregation.
Analytical Models: Employs advanced analytics for comprehensive data insights.
Collaboration Tools: Facilitates team collaboration through shared data environments.

What benefits or ROI should users consider?

Enhanced Decision-Making: Provides actionable insights for informed decision-making.
Increased Efficiency: Streamlines operations and reduces processing time.
Scalability: Grows with organizational demands to maintain operational effectiveness.

In specific industries such as defense and finance, Palantir Gotham is used for threat intelligence and risk management, helping organizations mitigate threats and manage compliance efficiently. It's known for its adaptability in complex environments, making it a popular choice in sectors requiring rigorous data handling.

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

Team Rubicon, CGI

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

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

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