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Palantir Gotham vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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 Gotham
Ranking in Data Integration
57th
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Integration
7th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Palantir Gotham is 0.8%, up from 0.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.5%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.5%
Palantir Gotham0.8%
Other96.7%
Data Integration
 

Featured Reviews

WH
Manager at a tech services company with 201-500 employees
A seamless all-in-one solution
This solution is seamless. From one platform, we can do just about anything. With other solutions, you'll need a separate platform for data ingestion, manipulation, etc. Then you'll need another tool for reporting. Palantir Gotham literally does it all. It generates a report regardless of the format. It can seamlessly generate it after the data has been collected.
Henrique Fsantos - PeerSpot reviewer
Data & Analytics Engineer at PicPay
Automated data pipelines have improved analytics workflows and provide trusted reporting data
The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

Quotes from Members

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

Pros

"This solution is seamless. From one platform, we can do just about anything."
"The Studio is easy to understand."
"The solution can run on any machine and that is a big advantage."
"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."
"The availability of connectors is great."
 

Cons

"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"Processing large volumes of data sometimes consumes a lot of resources."
"The product must enhance the data quality."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"As it is a open source tool, some minor bugs are there."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
 

Pricing and Cost Advice

Information not available
"The tool is cheap."
"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"I have been using the open-source version."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"It's a subscription-based platform, we renew it every year."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Comms Service Provider
11%
Outsourcing Company
10%
Computer Software Company
8%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Team Rubicon, CGI
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.
920,769 professionals have used our research since 2012.