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 7.6. Palantir holds a 0.8% mindshare in DI, compared to Hitachi Vantara’s 1.7% 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

2,353 Views
2,141 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 61 Pentaho Data Integration and Analytics reviews

8,320 Views
6,573 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, Palantir, Microsoft and others in Data Integration.

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

Buyer's Guide

Data Integration

September 2026

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Helped 913,924 peers since 2012

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 September 2026, in the Data Integration category, the mindshare of Palantir Gotham is 0.8%, up from 0.7% 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 Gotham	0.8%
Other	97.5%

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."

"All you need is a balance of experienced users and new trainees to get going."

"Overall it is an awesome tool."

"It is extremely flexible, it allows you to use variables/parameters for just about everything."

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

"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."

"The abstraction is quite good."

"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."

"Using Lumada compared to using SQL manually, ETL development time is half the time it took using a basic manual transformation."

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."

"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."

"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."

"Its performance can be improved so it will work better with Big Data. Also, sometimes it can be very buggy which keeps away some potential users."

"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram."

"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."

"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."

"To improve Pentaho Data Integration and Analytics, I suggest developing capabilities for cloud-based solutions instead of being solely on-premises."

"I think Pentaho Data Integration and Analytics needs additional plugins for the market, and for some specific tasks it is very difficult."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

Information not available

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

"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 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."

"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."

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

"You don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."

"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."

"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."

More Pentaho Data Integration and Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Outsourcing Company

Comms Service Provider

Government

Financial Services Firm

12%

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

Palantir Foundry vs Palantir Gotham

Compared 27% of the time

Peregrine vs Palantir Gotham

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Palantir Gotham

Compared 5% of the time

Azure Data Factory vs Palantir Gotham

Compared 5% of the time

More Palantir Gotham Competitors

Airbyte Cloud vs Pentaho Data Integration and Analytics

Compared 8% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 8% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 7% of the time

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

Compared 7% 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

Data Integration

September 2026

Download Palantir Gotham product report

Buyer's Guide

Pentaho Data Integration and Analytics

September 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, Palantir, Microsoft and others in Data Integration. Updated: September 2026.

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