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Matillion Data Productivity Cloud vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 12, 2025

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
8th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Cloud Data Integration
12th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Data Integration (14th), IT Operations Analytics (9th), Supply Chain Analytics (1st), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 5.1%, up from 3.8% compared to the previous year. The mindshare of Palantir Foundry is 6.2%, up from 3.6% 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 Foundry6.2%
Other88.7%
Cloud Data Integration
 

Featured Reviews

Jitendra Jena - PeerSpot reviewer
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.
Rama Subba Reddy Thavva - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The product's initial setup phase was easy."
"The product is quite stable and can handle complex data integration tasks well."
"It has good integrations with Amazon Redshift and other AWS services."
"The loading of data is the most valuable feature of Matillion ETL."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The solution offers very good end-to-end capabilities."
"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."
"Great features available in one tool."
"The data lineage is great."
"The AI engine that comes with Palantir Foundry is quite interesting."
"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."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
 

Cons

"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."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"Performance can be improved for efficiency, and it can be made faster."
"The solution’s data security could be improved."
"The workflow could be improved."
"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 solution's visualization and analysis could be improved."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"Some error messages can be very cryptic."
"The frontend capabilities of Palantir Foundry could be improved."
"Cost of this solution is quite high."
 

Pricing and Cost Advice

"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."
"The price of Matillion ETL is reasonable."
"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."
"The product must improve its pricing."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
"The solution’s pricing is high."
"Palantir Foundry is an expensive solution."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
9%
Retailer
5%
Manufacturing Company
12%
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 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.
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...
 

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: September 2025.
872,706 professionals have used our research since 2012.