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Atlan

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133 reviews
  • 1 profiles
  • 6 categories
Average star rating
4.5
#1 in 2 categories
Grid® leader
Serving customers since
2019

Profile Name

Star Rating

91
40
2
0
0

Atlan Reviews

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Profile Name
Star Rating
91
40
2
0
0
Saatvik R.
SR
Saatvik R.
10/16/2024
Validated Reviewer
Verified Current User
Review source: Organic

One of a kind player in the data space!

One of a kind player in the data space! Our experience with Atlan from the Proof of Concept stage all the way to the implementation has been nothing short of exceptional. The team is incredibly thoughtful with communication and documentation. They bring to the table a strong willingness to understand the gaps and solve problems
Verified User in Information Technology and Services
AI
Verified User in Information Technology and Services
10/07/2024
Validated Reviewer
Verified Current User
Review source: Organic

Atlan: Best-in-class data catalog with customer-centric product development & services

1. End-to-end view of data lineage across our whole data lifecycle: Atlan perfectly integrates with large parts of our tool stack (Snowflake, DBT, Tableau, Salesforce, Fivetran), which gives us great transparency into our data flows & structures. Especially being able to identify & export dependencies have been pivotal for our data incident management and requirements analyses for changes in our data structure. In order to paint a full picture of our tool landscape, we would love to see additional integrations being published for rETL tools like Hightouch, data quality tools like Metaplane or additional CRMs like Hubspot & Zendesk. 2. Outstanding support from our CSM & Customer Support team: Our CSM serves as a trusted advisor when it comes to the overall architecture of the tool and general data governance best practices. His level of support & commitment for us to get the most value out of the tool is far above the average SaaS CSM support. For instance, our CSM introduced us to a dedicated internal Data Governance Consultant, who took multiple hours of time to share his experience and advise us on how to effectively implement data governance at our organisation. Likewise, the Customer Support team exhibit impressive technical understanding & structured problem solving, providing us with very timely and deep analyses of any issues coming up. 3. Great pace of delivery for new features: Atlan regularly publishes highly relevant new product features at a fast pace. Very regularly, if we provide feedback around missing or non-optimal functionalities, it turns out that the respective feature is already on the roadmap and might even be released within the next couple of weeks. It has become very apparent that the product strategy is very much centered around customer feedback & pain points, which we appreciate a lot.
Verified User in Sports
AS
Verified User in Sports
09/26/2024
Validated Reviewer
Verified Current User
Review source: Organic

Enabling our teams through better data access and visibility

The best benefit of Atlan was the functionality for both front end users and our data engineering teams. Providing a common data glossary location tied directly with the data assets enabled us to make data more available and accessible to all data consuming teams. The flexibility in providing an area for data quality metrics to be visible right alongside each key dataset also provides next level confidence to our teams that the data they're accessing is accurate, complete, reliable, relevant, and timely. Integration with our data platform was straightforward and ensuring all our data sources and reporting applications are all connected quick and effective. Any issues we had were resolved quickly with the customer success team and it's great to have regular check ins with them to learn of the new features on the product roadmap.

About

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HQ Location:
New York, US

Social

@AtlanHQ

What is Atlan?

Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve. 300+ enterprises — including JPMorgan Chase, Mastercard, General Motors, Zoom, and more — run on Atlan’s context layer for AI and analytics. Gartner named Atlan a Leader in both Data & Analytics Governance and Metadata Management in 2025–2026, and recently featured Atlan in its inaugural Hype Cycle for Agentic AI in the Context Graphs category.

Details

Year Founded
2019
Website
www.atlan.com