No more typing reviews! Try our Samantha, our new voice AI agent.

IBM Data Governance vs Qlik Talend Cloud comparison

Why PeerSpot?
 

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

IBM Data Governance
Ranking in Data Governance
34th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Governance
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), 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 Governance category, the mindshare of IBM Data Governance is 1.1%, down from 1.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.1%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.1%
IBM Data Governance1.1%
Other96.8%
Data Governance
 

Featured Reviews

Murali B - PeerSpot reviewer
Associate Manager at a consultancy with 10,001+ employees
Provides a single interface to monitor and navigate data quality metrics
One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial. We can see the pass/fail results, but getting additional percentage ratios would add significant value. My experience with IBM Data Governance has mostly been with the GUI. I've noticed some latency when accessing the portal. Also, automating reports can sometimes hang, though that might depend on the overall system. That's where I see the most room for improvement – quicker report generation. Fetching specific data from the IBM Data Governance repository tends to be slower compared to other vendors. For example, Collibra has a more responsive GUI. Retrieving large datasets from the IBM catalog is particularly slow.
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

"IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems."
"​It lowers the amount of time in development from weeks to a day.​"
"We are able to get emails from URLs very easily using this function when others fail."
"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."
"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"The Studio is easy to understand."
"We can develop our own code if we do not see the functionality we need."
"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."
"The scheduling part of the solution is very good."
 

Cons

"One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial."
"The sales and market department could improve the Talend Data Management Platform."
"The biggest challenge with Talend was its performance."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."
"The solution's memory sometimes bottlenecks and that can be challenging."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
"As it is a open source tool, some minor bugs are there."
"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."
 

Pricing and Cost Advice

Information not available
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"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."
"It's a subscription-based platform, we renew it every year."
"The licensing cost is about 40,000 Euros a year."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"The solution's pricing is very reasonable and half the cost of Informatica."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
15%
Financial Services Firm
13%
Retailer
7%
Construction Company
5%
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

TIAA CREF, Control Risks Group
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: October 2026.
920,769 professionals have used our research since 2012.