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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 (9th), AI Data Analysis (13th)
Palantir Gotham
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
Data Integration (51st)
 

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 5.4%, up 3.4% 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 Market Share Distribution
ProductMarket Share (%)
Matillion Data Productivity Cloud5.4%
AWS Glue9.2%
AWS Database Migration Service7.4%
Other78.0%
Cloud Data Integration
Data Integration Market Share Distribution
ProductMarket Share (%)
Palantir Gotham0.8%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.5%
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

"The product has a good user interface."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"The loading of data is the most valuable feature of Matillion ETL."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"Matillion ETL is one hundred percent stable."
"This solution is seamless. From one platform, we can do just about anything."
 

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."
"It needs integration with more data sources."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"The tool's lineage is very weak."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"The product must enhance its near-real-time data capture feature."
"In the next release, we would like to have connections to more databases."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
 

Pricing and Cost Advice

"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."
"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."
"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 prices needs to be lower."
"The product must improve its pricing."
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"The cost of the solution is high and could be reduced."
"Matillion ETL is expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
11%
Retailer
6%
Government
13%
Computer Software Company
11%
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.
Ask a question
Earn 20 points
 

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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