Sold by: Atlan
Deployed on AWS
Atlan is an active metadata platform built to address the everyday chaos and collaboration overhead faced by data-driven teams. Key features include: data catalog & discovery, data lineage & governance, data quality & profiling, and data exploration.
4.5
Overview
Built by a data team for data teams, Atlan is the active metadata platform. With deep integrations with popular tools like Snowflake, Redshift, Databricks, Looker, Power BI and more, Atlan creates a single source of truth by acting as a collaborative workspace for data teams and bringing context back into the tools where data teams live.
Atlan was named a Leader in Forrester Wave - Enterprise Data Catalogs for DataOps and they power data teams in WeWork, Ralph Lauren, Plaid and Postman. Data teams using Atlan have become 6X more agile, improving time-to-insight by up to 60X. Atlan is backed by top investors like Insight, Sequoia & Waterbridge and amazing angels such as the founding teams of Snowflake, Looker, Stitch.
Key features include: data catalog & discovery, data lineage & governance, data quality & profiling, and data exploration.
For startup offers, volume discounts or other custom pricing, or EULA , private contract, please contact marketplace@atlan.com
Highlights
- Make all your data assets from tables, views, BI dashboards, SQL snippets, pipelines, business metrics instantly discoverable. Atlans powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze.
- Atlan takes the pain away from governing and managing your data ecosystem! Atlan bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance.
- Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we've got you covered.
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Buyer guide
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Atlan Platform | Subscription to Atlan Platform starting at | $100,000.00 |
Vendor refund policy
No refunds offered!
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
- Customers can raise support case via ask@atlan.com or via portal https://atlan.zendesk.com/auth/v2/login/signin
- https://ask.atlan.com would be doc site ( same as docs.atlan.com )
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Alation
By Collibra
Top
10
In Data Catalogs, Data Governance
Top
10
In Data Catalogs, Data Governance, Master Data Management
Top
10
In Data Catalogs, Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Asset Discovery and Search
Powerful search algorithms combined with browsing capabilities to make data assets including tables, views, BI dashboards, SQL snippets, pipelines, and business metrics instantly discoverable.
Automated Data Lineage Construction
Automatic parsing of SQL query history to construct data lineage and detect personally identifiable information (PII) data for dynamic access policy creation.
Data Quality Profiling
Automatic generation of data quality profiles with variable type detection, frequency distribution analysis, missing values identification, and outlier detection capabilities.
Multi-Platform Integration
Deep integrations with popular data tools including Snowflake, Redshift, Databricks, Looker, and Power BI to create a unified metadata workspace.
Data Governance and Access Management
Automated governance capabilities including PII detection and creation of dynamic access policies for managing data ecosystem permissions.
Metadata Centralization
Centralizes metadata from disparate sources into a unified platform for discovering, describing, governing, and managing data assets including data, BI reports, and AI models.
Behavioral Analysis Engine
Incorporates a Behavioral Analysis Engine to provide advanced analytics and insights across data assets.
Data Lineage and Tracking
Enables documentation of insights and tracking of data lineage across teams for transparency and compliance purposes.
Self-Service Analytics
Supports self-service analytics capabilities allowing users to independently discover and analyze data assets.
AI Governance Framework
Provides an AI governance framework that ensures data quality, transparency, and compliance for AI initiatives.
AI Governance Framework
Active metadata-based governance with rules, processes and responsibilities to ensure ethical AI practices, mitigate risk, adhere to legal requirements, and protect privacy
Automated Data Lineage
End-to-end lineage tracking providing transparency into data transformation and flow across systems, including both summary-level business lineage and detailed technical lineage
Unified Data Catalog
Multi-cloud and hybrid environment data discovery with business context including data origin, ownership, usage patterns, and access to reports, AI models and data products
Data Quality Automation
Automated monitoring and rule management system for enterprise-wide data quality management replacing manual processes
Privacy and Compliance Workflow
Centralized automation of privacy workflows to operationalize privacy requirements and address global regulatory compliance
Standard contract
No
No
Customer reviews
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.