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Atlan - Context Layer for AI
Atlan is the context layer for AI, the infrastructure that makes enterprise AI accurate, trustworthy, and scalable. Trusted by Mastercard, Workday, General Motors, and hundreds of global enterprises, Atlan connects your entire data estate and enriches it with the certified definitions, lineage, ownership, and access policies every AI agent needs. Native integrations with Amazon Redshift, S3, Glue, Athena, Lake Formation, and SageMaker Unified Studio mean your AWS stack is context-ready from day one. Recognized as a Leader in the Gartner Magic Quadrant for Data & Analytics Governance 2026 and Customer Favorite in the Forrester Wave for Data Governance Q3 2025.
Reviews (141)
Manufacturing
Great Lineage and Data Cataloging with Easy Integrations but slow
Reviewed on May 27, 2026
Review provided by G2
What do you like best about the product?
Great lineage and data cataloging functionality. Easy integrations, competitive pricing with good support.
What do you dislike about the product?
The platform can feel sluggish at times. The UI is bland. The initial AI features were incomplete.
What problems is the product solving and how is that benefiting you?
We had a lack of data knowledge across the company. None of our data was AI ready. Atlan is helping us solve both of those problems.
Retail
Great Service and Product—Easy, Intuitive, and Accessible
Reviewed on May 18, 2026
Review provided by G2
What do you like best about the product?
Great service, great product, easy to use
What do you dislike about the product?
Nothing jumps out to me overall very intuitive and accessible
What problems is the product solving and how is that benefiting you?
UNderstanding lineage and how data is flowing and how calculations are performed
Manufacturing
Outstanding Support and Effortless User Adoption
Reviewed on May 14, 2026
Review provided by G2
What do you like best about the product?
The product support and the ease of adoption for users.
What do you dislike about the product?
The sales process could be a bit smoother, but overall no issues
What problems is the product solving and how is that benefiting you?
The Data Product Marketplace is critical to our Data & AI Strategy, a one stop shop to search, discover, learn, contribute and request access
Akash A.
Intuitive, User-Friendly Data Catalog That Makes Finding Datasets Easy
Reviewed on May 06, 2026
Review provided by G2
What do you like best about the product?
What I like most about Atlan is how intuitive and userfriendly it feels. I didn’t have to spend much time learning the tool the interface is clean, and locating the datasets I need is very straightforward.
What do you dislike about the product?
One thing I don’t like about Atlan is that it can feel a bit overwhelming at first, especially if you’re new to data governance or catalog tools. It offers a lot of features, and it takes some time to get familiar with everything and understand how to use those features effectively.
What problems is the product solving and how is that benefiting you?
The main problem Atlan solves for me is data discovery and trust. Before using it, it was often hard to find the right dataset, understand what it actually meant, and feel confident that it was reliable. A lot of time used to be spent asking different teams for context or manually verifying data sources.
Computer Software
Agile, Fast-Moving Startup Vibes—But Needs Stronger Testing
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
It have a good startup vibes with a break fat and move fast approach. The organisation is very agile and adaptive to the industry trends.
What do you dislike about the product?
The are moving so fat that you don't get time to settle up. Testing is very poor.
What problems is the product solving and how is that benefiting you?
They are cataloging metadata of the difference data sources that a customer have. But recently they have shifted there focus from data cataloging to AI based remediation and RCA as they already have a huge amount of client's data sources metadata which can assist in a RCA of any issue
Greg S.
Modern, metadata‑driven governance that teams actually want to use
Reviewed on May 05, 2026
Review provided by G2
What do you like best about the product?
Deep metadata, lineage, and ownership—finally governance that enables teams.
What do you dislike about the product?
Some advanced features require ramp-up, but docs and support help.
What problems is the product solving and how is that benefiting you?
Modern, metadata‑driven governance that teams actually want to use. Clearly compiling the enterprise data intelligence related to metadata cataloging, ownership, lineage, quality, and more.
Apparel & Fashion
Outstanding AI Features, Easy UI, and a Truly Responsive Atlan Team
Reviewed on Apr 30, 2026
Review provided by G2
What do you like best about the product?
We value the strong partnership with Atlan's Product and Engineering Teams, their innovative roadmap and the ease of the UI. The team is highly responsive, open to feedback, and willing to collaborate with us to deliver new capabilities we want. We have regular and easy communication with Atlan employees. Atlan's new AI features are outstanding, built on their extensible and easy integrations.
What do you dislike about the product?
Mostly we are very happy but one feedback would be the focus on innovation can often come at the expense of prior features and fundamental needs that make the support and maintenance easier. Atlan does have some features that don't get much attention and would benefit from better defined roadmaps.
What problems is the product solving and how is that benefiting you?
Data Quality features embedded in the data catalogue. The new Context Agents Studio is amazing and will scale enrichment incredibly fast but with quality. Overall they allow us to maintain a very small data Governance team.
Financial Services
Effortless Metadata Management with a Powerful Data Catalog and Semantic Layer
Reviewed on Mar 30, 2026
Review provided by G2
What do you like best about the product?
Atlan makes it easy to manage metadata, build a data catalog, and create a semantic layer of the company's data.
What do you dislike about the product?
There aren't really any downsides of Atlan besides some small functionality and features that would be nice to have.
What problems is the product solving and how is that benefiting you?
Atlan is helping us manage our data estate, make data discoverable, and helps provide a single platform to understand data and the business.
Health, Wellness and Fitness
Helpful UI, Flexible Data Model, and Great API
Reviewed on Mar 20, 2026
Review provided by G2
What do you like best about the product?
Atlan's data model flexibility stands out as the most valuable aspect of the product for our team. The ability to customize asset metadata and extend the data model to fit our organization's unique workflows — and then maintain that customization programmatically via their API — has made it a genuinely useful hub for our data stack, not just a static catalog. The UI is clean and intuitive enough that data scientists, analysts, and engineers can all find value in it without heavy onboarding.
What do you dislike about the product?
The catalog of available data connectors covers most of our data stack, but some of our BI tooling still isn’t supported. Also, in some cases the UI doesn’t reflect back-end changes quickly, so after certain operations the catalog can feel sluggish until changes fully sync and propagate.
What problems is the product solving and how is that benefiting you?
Atlan addresses the core challenge of data discoverability in a large, complex data environment. Without a catalog, it's easy for data assets to become siloed and undocumented, slowing down the work of analysts, data scientists, and engineers who need to find and trust the data they're working with. Atlan gives our team a central place to discover, document, and understand our data assets which reduces time spent hunting for the right table or dataset and improving confidence in the data being used.
Robert Perry
Streamlined metadata workflows have saved time and now support faster data-driven decisions
Reviewed on Mar 06, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Atlan is that it is very easy and integrable with other data sources, which is very convenient and time saving. By switching to Atlan, we have increased our productivity and saved a lot of business time. Our team, whether technical or non-technical, adapted to Atlan very quickly because of its simple user interface.
A quick, specific example of how my team uses Atlan day-to-day is that we introduce some new technologies in our system and every time integrating those tools or technologies with Atlan is much easier and smoother.
My team uses Atlan 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 tools. It also enables the team to automate manual and high-risk tasks and to make them error-free as much as possible.
What is most valuable?
The best features Atlan offers are that it is very easy to extract and modify data. We can perform very quick and smooth integration. Its open-source framework provides extension and capability to the API it uses. It has a user-friendly interface, easy access to data, data tables, and a lineage feature.
Atlan provides extensive and seamless integrations, a ton of automation, and an extremely user-friendly and intuitive interface to navigate.
Atlan has impacted my organization positively because it has been very helpful. Atlan has certainly saved time and money by consolidating our metadata sets. Integration with Amazon and Tableau have definitely sped up our time to value.
We have been able to save time and money by consolidating our data by at least 45%.
What needs improvement?
Atlan can be improved because API documentation could be enhanced.
I wish the support team could be quicker in their response time.
The reason why I rated it a nine is that it has improved our compliance and risk management. What could have made it a perfect ten for me is if it had improved API documentation and if the support could be much quicker in their response time. It is also very easy to adopt and has good pricing.
For how long have I used the solution?
I have been using Atlan for about six years.
What other advice do I have?
My advice to others looking into using Atlan is that it is a well-suited tool because it is very cost-effective and easy to use. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, it might be less suited for collaboration across teams.
Atlan is very easy to use, and anyone could pick it up relatively quickly. I rated this product a nine out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud