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Palantir Foundry vs Qlik Replicate 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

Palantir Foundry
Ranking in Data Integration
12th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
18
Ranking in other categories
IT Operations Analytics (10th), Supply Chain Analytics (1st), Cloud Data Integration (11th), Data Migration Appliances (3rd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
Qlik Replicate
Ranking in Data Integration
23rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Palantir Foundry is 2.1%, down from 2.7% compared to the previous year. The mindshare of Qlik Replicate is 1.6%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.1%
Qlik Replicate1.6%
Other96.3%
Data Integration
 

Featured Reviews

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.
SW
Solution Architect at Predoole Analytics
Real-time data synchronization faces challenges with monitoring and affordability
The user-friendly interface in Qlik Replicate simplifies configuration and management of replication tasks because it is based on GUI, and users don't have to write any scripts. It is entirely drag and drop functionality. Even with zero knowledge of scripting, users can effectively use Qlik Replicate. The most valuable feature of Qlik Replicate is their change data capture feature. As soon as data is entered into the source, it gets captured at target locations. This occurs in near real-time, with replication happening within seconds at the target location. Additionally, whatever operations are performed at the source, whether adding data, deleting data, or updating anything, it gets replicated at target locations. It functions as data injection from source to target, ensuring all operations performed on the source system are replicated on target systems.

Quotes from Members

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

Pros

"Great features available in one tool."
"The data lineage is great."
"The solution offers very good end-to-end capabilities."
"I rate Palantir Foundry a ten out of ten."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Based on my huge experience with Palantir Foundry, I find that starting from the data connection to the end user application, there is a tool for everyone."
"The virtualization tool is useful."
"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."
"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."
"It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change."
"We use Qlik Replicate to change data capture of databases in production environments."
"From a technical perspective, this is an excellent product."
"Support has been great."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."
 

Cons

"The workflow could be improved."
"The solution’s data security could be improved."
"Some error messages can be very cryptic."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"The solution's visualization and analysis could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"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."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
"The disadvantage is people are not going for this license because it is not marketed properly."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"It's not possible to replicate the QVC files in data analytics."
"Support response times could be improved as there are sometimes delays in receiving replies to support cases."
"The product should improve its licensing limitation."
"The UI and data version control can be improved."
 

Pricing and Cost Advice

"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
"Pricing for this solution is very reasonable."
"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
"Qlik Replicate is not expensive, compared to GoldenGate."
"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
10%
Government
8%
University
7%
Financial Services Firm
16%
Manufacturing Company
10%
Insurance Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise9
By reviewers
Company SizeCount
Small Business9
Large Enterprise11
 

Questions from the Community

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...
What advice do you have for others considering Palantir Foundry?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool,...
What is your primary use case for Qlik Replicate?
My usual use cases for Qlik Replicate involve my previous organization and my current organization. I can provide my current experience. As an Australian energy provider, we have a lot of operation...
 

Also Known As

No data available
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Palantir Foundry vs. Qlik Replicate and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.