Atlan vs Qlik Talend Cloud comparison

Atlan and Qlik are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.1, while Qlik is ranked #8 with an average rating of 8.0. Atlan holds a 2.1% mindshare in DG, compared to Qlik’s 1.8% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Atlan

Read 8 Atlan reviews

1,456 Views
1,427 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
1,216 Comparison Views

88% willing to recommend

Atlan

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 18, 2025

Qlik Talend Cloud and Atlan are both strong contenders in the data integration and metadata management category. Talend Cloud seems to have the upper hand for technical users due to its advanced monitoring capabilities and extensive toolset, while Atlan excels with business users because of its intuitive design and robust metadata management.

Features: Talend Cloud offers advanced monitoring capabilities, a wide range of connectors for diverse systems, and allows for extensive customization through Java code modification. Atlan provides an intuitive interface, efficient data cataloging with automated lineage, and seamless integration with communication platforms like Microsoft Teams and Slack.

Room for Improvement: Talend needs to address its high memory usage, system stability issues, and gaps in customer support. Atlan could enhance its governance features and workflows, offer more business-friendly functionalities, and improve data observability and governance capabilities to better meet market needs.

Ease of Deployment and Customer Service: Talend Cloud offers deployment flexibility with both on-premises and cloud options, though its customer service receives mixed feedback. Atlan focuses on cloud deployments, suggesting easier integration for cloud-ready organizations, and is generally praised for its high-quality customer service.

Pricing and ROI: Talend Cloud is attractive for budget-conscious users with its cost-effective licensing model, including open-source options, while also offering significant ROI through automation. Atlan's pricing model is based on user licenses which provides scalability and can result in competitive pricing, making it especially beneficial for mid-sized organizations looking for cloud-focused solutions and savings.

To learn more, read our detailed Atlan vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

Atlan vs. Qlik Talend Cloud

December 2025

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Helped 881,082 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

Atlan

Ranking in Data Governance

12th

Average Rating

8.2

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (5th)

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 (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of Atlan is 2.1%, up from 1.7% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.8%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Qlik Talend Cloud	1.8%
Atlan	2.1%
Other	96.1%

Data Governance

Featured Reviews

Peter Neumann

IT consultant at Pathfinder

Has struggled to meet business needs but supports technical data exploration and transparency

Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.

Read full review

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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

"Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project."

"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."

"Atlas is quite intuitive."

"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."

"The interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."

"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."

"Overall, I rate Atlan as a ten out of ten."

More Atlan pros

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

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

"The availability of connectors is great."

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."

"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."

"It has definitely streamlined certain processes."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."

More Qlik Talend Cloud pros

Cons

"Certain UI changes could make Atlan more user-friendly."

"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."

"One area that could be improved is the capability to find duplicates of datasets."

"Certain UI changes could make Atlan more user-friendly."

"One of the main areas for improvement is its governance capabilities."

"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."

"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."

"One area that could be improved is the capability to find duplicates of datasets."

More Atlan cons

"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."

"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."

"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"SQL for displaying underlying data in non-match results does not work."

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

"The biggest challenge with Talend was its performance."

"The documentation from version to version could be more accurate."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."

"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."

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

"The tool is cheap."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"It's a subscription-based platform, we renew it every year."

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

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

"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."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Financial Services Firm

10%

Computer Software Company

Insurance Company

Financial Services Firm

12%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

What is your experience regarding pricing and costs for Atlan?

Atlas is competitively priced compared to other data governance platforms like Collibra and Informatica. The only major drawback is its lack of an integrated data quality module.

See all answers

What needs improvement with Atlan?

Atlan can be improved by integrating agents that can support users in finding assets of interest.

See all answers

What is your primary use case for Atlan?

Atlan is used as a data catalog and a data governance tool. The primary idea for implementing Atlan for data cataloging in day-to-day work was to create a business data catalog to support asset dis...

See all answers

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

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

Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 39% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 16% of the time

Alation Data Catalog vs Atlan

Compared 12% of the time

Collibra Platform vs Atlan

Compared 10% of the time

Ataccama ONE Platform vs Atlan

Compared 5% of the time

More Atlan Competitors

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

Compared 7% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 4% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

Collibra Platform vs Qlik Talend Cloud

Compared 3% of the time

SAP Data Services vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Atlan

January 2026

Download Atlan product report

Buyer's Guide

Qlik Talend Cloud

January 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

Atlan is a comprehensive data management platform designed to enhance data democratization, governance, and collaboration across departments in organizations. It offers a centralized data catalog, intuitive user interface, and robust governance framework to ensure data security and compliance. Users appreciate its efficiency in streamlining processes, promoting better communication, and providing insightful analytics, which drive organizational growth and success.

Atlan

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

Information Not Available

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Atlan vs. Qlik Talend Cloud

December 2025

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