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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
19th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
15
Ranking in other categories
IT Operations Analytics (9th), Supply Chain Analytics (1st), Cloud Data Integration (14th), Data Migration Appliances (4th), Data Management Platforms (DMP) (2nd), Data and Analytics Service Providers (1st)
Qlik Replicate
Ranking in Data Integration
15th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Palantir Foundry is 2.5%, down from 2.6% compared to the previous year. The mindshare of Qlik Replicate is 3.1%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

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.
KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. 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. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.

Quotes from Members

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

Pros

"Live video sessions enhance the available documentation and allow you to ask questions directly."
"Great features available in one tool."
"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."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"It's scalable."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"The virtualization tool is useful."
"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."
"The most valuable features of Qlik Replicate are its CDC performance and trigger functions. CDC feature is important to the financial industry."
"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."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"Great with replicating and updating records."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"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."
"We use Qlik Replicate to change data capture of databases in production environments."
 

Cons

"The solution's visualization and analysis could be improved."
"The frontend capabilities of Palantir Foundry could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"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."
"Some error messages can be very cryptic."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"Difficult to receive data from external sources."
"The solution could use more online documentation for new users."
"We would like to see more details in messages about errors with the system."
"Support for this product is not great. It needs to be improved."
"Some features on the graphical user interface are clunky."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"Some features can also be overly dependent on each other. So, there is room for improvement."
"Support-wise, this solution is in need of improvement."
"The product should improve its licensing limitation."
"It would be better if the solution’s pricing were more obvious."
 

Pricing and Cost Advice

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

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
11%
Computer Software Company
10%
Government
7%
Financial Services Firm
19%
Computer Software Company
11%
Insurance Company
10%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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?
The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.
What is your primary use case for Palantir Foundry?
Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. ...
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?
There is complexity involved in the licensing part of this system. It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a max...
What is your primary use case for Qlik Replicate?
An example involving the banking project I am currently working on is for a public sector bank in India. Primarily, they are using a database, and the ultra architecture is meant to take a backup o...
 

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: February 2025.
838,713 professionals have used our research since 2012.