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 8.3, while Qlik is ranked #9 with an average rating of 7.8. Atlan holds a 1.8% mindshare in DG, compared to Qlik’s 2.0% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

Atlan

Read 10 Atlan reviews

2,884 Views
2,769 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

16,429 Views
2,629 Comparison Views

89% willing to recommend

Atlan

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and Atlan are notable in the data integration and governance sector. Qlik Talend Cloud appears to have the advantage due to its comprehensive connectors and automation features, whereas Atlan is recognized for its user-friendliness and effective data governance capabilities.

Features: Qlik Talend Cloud stands out with its real-time data integration and wide range of connectors, which automate and streamline processes, thereby reducing errors. Additionally, its robust scheduling capabilities ensure consistency in data availability. On the other hand, Atlan excels with an easy-to-use interface, powerful data governance features such as lineage tracking, and comprehensive data ownership management that fosters collaboration within organizations.

Room for Improvement: Qlik Talend Cloud could improve in areas like enhanced monitoring, detailed error messaging, and better job performance visibility. Moreover, resource management needs attention. Atlan could enhance its governance for larger datasets, improve performance with legacy data, and refine its workflows to strengthen core offerings. Enhancements in data modeling could also elevate Atlan's business relevance.

Ease of Deployment and Customer Service: Qlik Talend Cloud supports multiple deployment environments, including on-premises and both public and private clouds. Users generally report positive experiences with responsive support and detailed documentation. Atlan offers similar deployment flexibility, primarily in the cloud, and is commended for effective customer service, although users suggest documentation improvements for better usability.

Pricing and ROI: Qlik Talend Cloud offers varied pricing models, which can seem higher due to developer-user licenses, but its open-source edition presents an affordable option. Atlan’s user-based pricing model is perceived as cost-effective for medium to large enterprises. Both products typically provide a positive ROI via time savings and error reduction, with Atlan’s pricing model being especially favorable for organizations seeking scalability with flexible pricing.

To learn more, read our detailed Atlan vs. Qlik Talend Cloud Report (Updated: August 2026).

Buyer's Guide

Atlan vs. Qlik Talend Cloud

August 2026

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Helped 909,725 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

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (5th)

Qlik Talend Cloud

Ranking in Data Governance

9th

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 (3rd), Cloud Data Integration (6th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Atlan is 1.8%, down from 2.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.0%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.0%
Atlan	1.8%
Other	96.2%

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.

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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

"The technical support services are good."

"Atlan is helpful for identifying datasets and discovering PI data, such as the classification levels of datasets (gold, silver, bronze)."

"They also offer automated lineage embedded in the connectors, allowing us to track where the data is coming from and where it's going. We find it very efficient in cataloging data sources. Additionally, the user-friendly interface is a big plus, making it easy for users to familiarize themselves with the solution. These two features, in my opinion, stand out the most."

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

"By switching to Atlan, we have increased our productivity and saved a lot of business time."

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

"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."

"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."

More Atlan pros

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

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

"Talend's most valuable feature is its ability to generate code and packages efficiently."

"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."

"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 features Qlik Talend Cloud offers include the fact that it is built on Java, which gives me the chance to customize my requirements and write my own Java code to achieve my logic."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"If you are looking for something that is stable, cost-effective and has a great ROI, then Talend is a great choice."

More Qlik Talend Cloud pros

Cons

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

"The product could be improved by offering scheduled email reports for managed assets."

"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."

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

"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."

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

"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."

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

More Atlan cons

"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."

"For us in New Zealand, it is quite expensive."

"Sometimes when working with larger datasets (possibly due to insufficient memory)."

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

"Not enough material is available for beginners."

"Performance and speed could be improved."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

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

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 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'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."

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

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

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

"License renewal is on a yearly basis."

"The tool is cheap."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

19%

Financial Services Firm

Energy/Utilities Company

Insurance Company

Financial Services Firm

15%

Comms Service Provider

10%

Construction Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

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

Questions from the Community

What is your experience regarding pricing and costs for Atlan?

My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very ...

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What needs improvement with Atlan?

Atlan can be improved by enhancing their support process by reducing the resolution time. They have really bad and incomplete documentation, so they should work on the documentation as well, especi...

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What is your primary use case for Atlan?

My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It al...

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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 ...

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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

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Compared 16% of the time

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Compared 10% of the time

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Compared 9% of the time

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Compared 3% of the time

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Compared 2% of the time

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Compared 2% of the time

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Product Reports

Buyer's Guide

Atlan

August 2026

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Buyer's Guide

Qlik Talend Cloud

August 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

August 2026

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