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CloverETL vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

CloverETL
Ranking in Data Integration
57th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (31st)
Palantir Foundry
Ranking in Data Integration
13th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (8th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.2% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.1%
CloverETL0.8%
Other97.1%
Data Integration
 

Featured Reviews

it_user856614 - PeerSpot reviewer
Lead Programmer at a healthcare company with 10,001+ employees
Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation
Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…
BA
Associate Vice President at a insurance company with 10,001+ employees
Unified data workflows have empowered collaborative analytics and streamlined AI development
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have worked on Palantir Foundry. There are many things that come up, but a few things are not intuitive enough. Now that we are in this AI phase, Palantir Foundry has created some wrappers around the models, allowing us to create using a no-code application, chatbots, and LLM functions. The problem is that interaction with outside applications can be difficult with the current setup that Palantir Foundry has. There are ways to do that, but it is not that intuitive, which is what I feel.

Quotes from Members

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

Pros

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"No dependence on native language and ease of use.​​"
"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."
"The virtualization tool is useful."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The solution offers very good end-to-end capabilities."
"I rate Palantir Foundry a ten out of ten."
"Foundry's data visualization is fantastic."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"It's scalable."
 

Cons

"Its documentation could be improved.​"
"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."
"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."
"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"The frontend capabilities of Palantir Foundry could be improved."
"The solution’s data security could be improved."
"The workflow could be improved. Although it works rather seamlessly, the workflow is too complicated sometimes."
"Some error messages can be very cryptic."
"The solution's visualization and analysis could be improved."
"Cost of this solution is quite high."
"The workflow could be improved."
"There are some issues with scalability because when we are using a really large dataset, the system is rather slow."
 

Pricing and Cost Advice

Information not available
"Palantir Foundry has different pricing models that can be negotiated."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
Construction Company
27%
Manufacturing Company
13%
Computer Software Company
10%
Retailer
6%
Manufacturing Company
13%
Financial Services Firm
9%
Government
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise13
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Palantir Foundry?
Regarding points for improvement for Palantir Foundry, I see that they are improving day by day. In the last one to two years, I have seen many improvements compared to the two years that I have wo...
What is your primary use case for Palantir Foundry?
There are several use cases that we are working on with Palantir Foundry. The first thing is for data model creation for all our data engineering pipelines. That is one use case. Palantir Foundry a...
What advice do you have for others considering Palantir Foundry?
The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau...
 

Overview

 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about CloverETL vs. Palantir Foundry and other solutions. Updated: May 2026.
893,244 professionals have used our research since 2012.