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Dataloader.io vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive Summary

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

Dataloader.io
Ranking in Data Integration
45th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Palantir Foundry
Ranking in Data Integration
14th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
IT Operations Analytics (9th), Supply Chain Analytics (1st), Cloud Data Integration (12th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Dataloader.io is 0.3%, up from 0.1% compared to the previous year. The mindshare of Palantir Foundry is 3.1%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Palantir Foundry3.1%
Dataloader.io0.3%
Other96.6%
Data Integration
 

Featured Reviews

Aditi Bhardwaj - PeerSpot reviewer
Provides an ease of access and an automated mapping feature
We need help with large data migrations. It only works well for a few thousand records or less than a million records. Above that, we need to look for alternative solutions. They could provide automated transformation or mapping features around 10 to 15 independent data objects. We could have a default mark or limit of free usage for standard objects. It will be helpful. Additionally, we can have more integrations with large data volumes as we need a lot of exercises to handle the files in case of complex sites.
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

"he product’s most valuable feature is ease of access."
"DataLoader is cost-effective since it is free."
"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The virtualization tool is useful."
"The solution offers very good end-to-end capabilities."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The data lineage is great."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The AI engine that comes with Palantir Foundry is quite interesting."
 

Cons

"DataLoader has limitations, including constraints with file sizes and transactions."
"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
"Cost of this solution is quite high."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Difficult to receive data from external sources."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"If you want to create new models on specific data sets, computing that is quite costly."
"The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users."
"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 startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
 

Pricing and Cost Advice

"The product is inexpensive and economical."
"It's expensive."
"The solution’s pricing is high."
"Palantir Foundry has different pricing models that can be negotiated."
"Palantir Foundry is an expensive solution."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
13%
Financial Services Firm
10%
Government
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

What do you like most about Dataloader.io?
he product’s most valuable feature is ease of access.
What is your experience regarding pricing and costs for Dataloader.io?
Dataloader.io is cost-effective, particularly since it is free.
What needs improvement with Dataloader.io?
DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.
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...
 

Overview

 

Sample Customers

UCSF, Box, CareFusion, Unilever, Hershey's
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Dataloader.io vs. Palantir Foundry and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.