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CloverETL vs Palantir Foundry comparison

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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
60th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (34th)
Palantir Foundry
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
62
Ranking in other categories
IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.4% compared to the previous year. The mindshare of Palantir Foundry is 2.1%, down from 2.9% 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…
reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.

Quotes from Members

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

Pros

"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."
"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."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"No dependence on native language and ease of use.​​"
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"The data lineage is great."
"Palantir Foundry is one of the most advanced tools right now, in my opinion, and it would take over the world very soon."
"Palantir Foundry has dramatically helped us in terms of project costing because earlier we had our own React developers team from offshore, and now with the AIP capabilities launched on the platform, we have completely avoided the need for a dedicated team, which has been very helpful in terms of cost management and reducing team size."
"The solution offers very good end-to-end capabilities."
"It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort."
"I like the data onboarding to Palantir Foundry and ETL creation."
"In terms of improvements, it helped us improve our data migration timelines by approximately 60 percent and improved the data accuracy and addressed the issues upfront by approximately 85 percent."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
 

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."
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Palantir Foundry has a steep learning curve and onboarding."
"The solution’s data security could be improved."
"Regarding pricing, I heard about it, and until last year, the license was one million dollars. They have now increased this to four million dollars, which is high."
"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"I want to say that Palantir Foundry is quite expensive; it is not so easy for budget review and budget transformation of the company, which is quite expensive."
"However, I observe a potential drawback concerning market trends; as software becomes more accessible with individuals developing applications independently, there is a risk posed to Palantir Foundry, which combines multiple core functionalities."
"I want to pass the certification of Palantir Foundry because it is not easy to find the information regarding this certification, making it not accessible for many people, which I think is not good."
 

Pricing and Cost Advice

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

By visitors reading reviews
Construction Company
26%
Comms Service Provider
13%
Manufacturing Company
13%
Computer Software Company
7%
Manufacturing Company
14%
Financial Services Firm
10%
Government
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise51
 

Questions from the Community

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What needs improvement with Palantir Foundry?
The Workshop application could be improved because it is not very customizable, but it is still very strong. We also have the React OSK apps, but it does not allow the inbuilt applications such as ...
What is your primary use case for Palantir Foundry?
My main use case for Palantir Foundry is to solve business problems, such as in healthcare. I also worked on a project for a law firm where thousands of PDFs were coming in, and we needed to check ...
What advice do you have for others considering Palantir Foundry?
I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples...
 

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: September 2026.
913,683 professionals have used our research since 2012.