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Matillion Data Productivity Cloud vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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

Matillion Data Productivity...
Ranking in Cloud Data Integration
10th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
AI Data Analysis (10th)
Palantir Foundry
Ranking in Cloud Data Integration
11th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (12th), IT Operations Analytics (10th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of January 2026, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 5.1%, up from 3.4% compared to the previous year. The mindshare of Palantir Foundry is 4.9%, up from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Matillion Data Productivity Cloud5.1%
Palantir Foundry4.9%
Other90.0%
Cloud Data Integration
 

Featured Reviews

Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.
SR
Architect at L&T Technology Services
Finds security and customization features impressive, although cost concerns persist
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms. Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use. The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable. I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security. The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database. 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. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.

Quotes from Members

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

Pros

"Matillion ETL is one hundred percent stable."
"Matillion's technical support is excellent."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It has helped us to get onto the cloud quickly."
"It's scalable."
"The interface is really user-friendly."
"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."
"The AI engine that comes with Palantir Foundry is quite interesting."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
 

Cons

"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"The product must enhance its near-real-time data capture feature."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"Scalability in Matillion Data Productivity Cloud has some limitations. Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required."
"The tool's lineage is very weak."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"The solution's visualization and analysis could be improved."
"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."
"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."
"If you want to create new models on specific data sets, computing that is quite costly."
"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."
"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."
 

Pricing and Cost Advice

"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs."
"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."
"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
"The cost of the solution is high and could be reduced."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."
"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
11%
Retailer
6%
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

What do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
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...
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...
What advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
 

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
No data available
 

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Matillion Data Productivity Cloud vs. Palantir Foundry and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.