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Matillion Data Productivity Cloud vs Palantir Gotham 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...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (10th), AI Data Analysis (13th)
Palantir Gotham
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
Data Integration (50th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Matillion Data Productivity Cloud is designed for Cloud Data Integration and holds a mindshare of 5.7%, up 3.3% compared to last year.
Palantir Gotham, on the other hand, focuses on Data Integration, holds 0.8% mindshare, up 0.4% since last year.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud5.7%
AWS Glue8.8%
AWS Database Migration Service7.4%
Other78.1%
Cloud Data Integration
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Gotham0.8%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other92.0%
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.
WH
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.

Quotes from Members

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

Pros

"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"Matillion's technical support is excellent."
"The loading of data is the most valuable feature of Matillion ETL."
"The product has a good user interface."
"It has improved the costs of managing my customer’s data."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"This solution is seamless. From one platform, we can do just about anything."
 

Cons

"Performance can be improved for efficiency, and it can be made faster."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."
"The cost of the solution is high and could be reduced."
"In the next release, we would like to have connections to more databases."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"It needs integration with more data sources."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
 

Pricing and Cost Advice

"Matillion ETL is expensive."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"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."
"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"The prices needs to be lower."
"The cost of the solution is high and could be reduced."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
11%
Retailer
6%
Government
14%
Computer Software Company
10%
Retailer
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
No data available
 

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.
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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
Team Rubicon, CGI
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