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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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
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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
Jeeban Jyoti D.
Great cataloging and best-in-class lineage, but support response can be slow
Reviewed on Feb 05, 2026
Review provided by G2
What do you like best about the product?
We can catalog tables and reports, the lineage feature is best
What do you dislike about the product?
May be the support for the tool. The repsonse takes time
What problems is the product solving and how is that benefiting you?
We are using mainly to find lineage through all our data warehouse.
It makes debugging easy
It makes debugging easy
Gerald S.
Exceptional Data Discovery, Data Governance, and Data Quality With Atlan
Reviewed on Dec 05, 2025
Review provided by G2
What do you like best about the product?
Atlan comes with great data discovery features and it ensures smooth data collaboration.
With the tool, finding, sharing and understanding data is always easy.
I like how easy Atlan makes it to maintain data quality and governance.
It comes with amazing machine learning features and amazing data AI features.
I like that Atlan supports modern data architecture.
With the tool, finding, sharing and understanding data is always easy.
I like how easy Atlan makes it to maintain data quality and governance.
It comes with amazing machine learning features and amazing data AI features.
I like that Atlan supports modern data architecture.
What do you dislike about the product?
No flaws to report considering Atlan has met our needs more so in data governance and data quality.
What problems is the product solving and how is that benefiting you?
Atlan has been very helpful in maintaining data quality and handling data governance thanks to the amazing AI features and machine learning.
reviewer2784381
Improved data discovery has reduced redundant ingestion and now supports governed asset management
Reviewed on Dec 05, 2025
Review from a verified AWS customer
What is our primary use case?
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 discovery and management.
What is most valuable?
Atlan offers excellent features including support for many different active metadata, such as lineage, which allows visibility into how an asset has been generated.
Active metadata and lineage features help quickly understand if an asset already exists, who the data steward is for that asset, and provide complete visibility on available fields and other technical aspects regarding the asset.
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.
What needs improvement?
Atlan can be improved by integrating agents that can support users in finding assets of interest.
For how long have I used the solution?
Atlan has been used for one and a half years.
What other advice do I have?
I rate Atlan overall a nine out of ten. I choose nine out of ten because even though Atlan is a very good product, it can be further improved. For others looking for a very complete data catalog tool with many features that can support data discovery, lineage, and more, I suggest choosing Atlan.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Information Services
Transforms Data Collaboration with Ease and Efficiency
Reviewed on Nov 09, 2025
Review provided by G2
What do you like best about the product?
What I appreciate most about Atlan is how it transforms working with data into a truly collaborative and seamless experience. By bringing together people, data, and context in a single platform, it enables teams to genuinely understand and trust their data. I find it incredibly easy to locate what I need, document my work, and maintain organization without the usual confusion. Atlan is clearly designed to make data serve people, rather than forcing people to adapt to data. Its smooth integration with modern tools allows teams to work more efficiently, and it makes the entire data process feel more human, transparent, and enjoyable.
What do you dislike about the product?
One aspect I find challenging about Atlan is that it can sometimes feel overwhelming due to the sheer number of features and configuration options. For newcomers, the learning curve is quite steep before you can fully appreciate its value. There are also times when performance slows down, especially when handling very large datasets or complex integrations. Additionally, I would appreciate more flexibility in some customization options to better accommodate specific team workflows. However, these concerns are relatively minor compared to the overall experience—once you become familiar with the platform, Atlan proves to be both powerful and enjoyable to use.
What problems is the product solving and how is that benefiting you?
Atlan addresses one of the most significant challenges in the data world: the lack of visibility, collaboration, and trust in data. By bringing together scattered data assets, documentation, and context into a single, unified workspace, it becomes much easier to discover, understand, and confidently use data without wasting time searching or doubting its accuracy. Personally, Atlan has made collaboration across teams more efficient, reduced reliance on individual expertise, and enhanced overall data quality. It has also simplified onboarding for new team members and sped up decision-making by ensuring everyone has clear and reliable access to the right data when they need it.
Arnold C.
Magically Boosts Productivity and Workflow
Reviewed on Nov 07, 2025
Review provided by G2
What do you like best about the product?
It significantly enhances productivity, streamlines workflow, and makes implementation across the business remarkably easy, almost like magic!
What do you dislike about the product?
The customer support isn't particularly impressive, but it is still an improvement over what I've experienced with other competitors.
What problems is the product solving and how is that benefiting you?
Integration of the source data made seamless and data privacy/storage are top notch that I can sleep without any issues.