IBM Data Governance vs Qlik Talend Cloud comparison

Why PeerSpot?

IBM and Qlik are both solutions in the Data Governance category. IBM is ranked #34, while Qlik is ranked #8 with an average rating of 7.9. IBM holds a 1.1% mindshare in DG, compared to Qlik’s 2.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

IBM Data Governance

Read 1 IBM Data Governance review

1,968 Views
1,968 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
3,206 Comparison Views

89% willing to recommend

IBM Data Governance

Qlik Talend Cloud

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and IBM Data Governance compete in data management and governance. Qlik Talend Cloud often holds the advantage in pricing and customer support, while IBM Data Governance gains recognition for comprehensive features, appealing to those seeking strong governance capabilities.

Features:Qlik Talend Cloud provides powerful data integration and transformation, real-time data processing, and broad platform connectivity. IBM Data Governance stands apart with comprehensive data lineage, privacy management, and policy enforcement features.

Ease of Deployment and Customer Service:Qlik Talend Cloud is known for flexible deployment options and responsive customer service. IBM Data Governance might require more complex initial setup but benefits from strong professional support services.

Pricing and ROI:Qlik Talend Cloud is favored for cost-effectiveness and quicker ROI, making it attractive for budget-conscious organizations. IBM Data Governance may involve higher initial costs but offers significant long-term ROI through thorough governance features.

To learn more, read our detailed Data Governance Report (Updated: October 2026).

Buyer's Guide

Data Governance

October 2026

Download the complete report

Helped 920,574 peers since 2012

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

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

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
Product	Mindshare (%)
Qlik Talend Cloud	2.1%
IBM Data Governance	1.1%
Other	96.8%

Data Governance

Featured Reviews

Murali B

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.

Read full review

Henrique Fsantos

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.

Read full review

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."

"I think Talend is one of the easiest tools for faster implementation compared to other tools."

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."

"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."

"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."

"I like everything about this product, but the biggest thing is the ease of use."

"We are able to get emails from URLs very easily using this function when others fail."

More Qlik Talend Cloud pros

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 usage of memory. This tool uses a huge amount of memory."

"The stability is good, but the performance is slower when I work on a huge amount of data."

"I wonder if, at the same price, the API component could be added, which would be beneficial."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."

"Once you get past the basic tools, it gets pretty complicated."

"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."

"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"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 solution's pricing is very reasonable and half the cost of Informatica."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"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."

"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

More Qlik Talend Cloud pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Governance solutions are best for your needs.

See recommendations

920,574 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Comms Service Provider

15%

Financial Services Firm

13%

Retailer

Construction Company

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

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 ...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Collibra Platform vs IBM Data Governance

Compared 26% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Data Governance

Compared 24% of the time

Information Builders Data Governance vs IBM Data Governance

Compared 11% of the time

Microsoft Purview Data Governance vs IBM Data Governance

Compared 10% of the time

OneTrust DataGovernance vs IBM Data Governance

Compared 2% of the time

More IBM Data Governance Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Data Governance

October 2026

Download IBM Data Governance product report

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

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

IBM Data Governance drives efficient data management by providing comprehensive oversight tools tailored for enterprises, fostering disciplined data policies and practices to enhance reliability and compliance.

IBM Data Governance offers robust solutions tailored for managing, integrating, and securing critical data assets across organizations. Its capabilities ensure streamlined data handling processes, enabling businesses to maintain consistent, clear, and accurate data. By implementing a structured approach to data governance, IBM helps mitigate risks and ensures adherence to regulatory standards. This facilitates improved data quality, enhances decision-making, and supports strategic business initiatives.

What are the key features of IBM Data Governance?

Data Catalog: Centralized repository for easy data asset management and retrieval.
Compliance Management: Ensures data handling aligns with industry regulations.
Policy Enforcement: Automated policy enforcement enhances consistency and security.
Data Quality Monitoring: Continuous data quality checks to maintain data integrity.
Metadata Management: Comprehensive metadata tracking for improved data understanding.

What benefits or ROI should users look for?

Increased Efficiency: Streamlined data processes reduce redundancy.
Enhanced Data Accuracy: Improved data quality facilitates better decisions.
Risk Mitigation: Comprehensive compliance management lowers legal risks.
Cost Reduction: Efficient data handling reduces operational costs.

IBM Data Governance is leveraged in sectors such as finance and healthcare to support data-centric operations. It helps financial institutions adhere to stringent regulatory requirements and supports healthcare organizations in maintaining patient data accuracy and privacy. Tailored solutions promote sector-specific compliance and data utilization.

IBM

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

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.

DOWNLOAD NOW

920,574 professionals have used our research since 2012.

See our list of best Data Governance vendors and best Cloud Data Integration vendors.

We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.