Atlan
Revolutionize data management: discover, govern, and collaborate effortlessly.
Key Takeaways
- What it is
- Revolutionize data management: discover, govern, and collaborate effortlessly.
- Pricing
- $500 per month
- Best for
- Data Discovery and Catalog
- Active Data Governance
- Column-Level Lineage
- Rating
- 4.6/5
What is Atlan?
Atlan is a cutting-edge data collaboration platform designed to streamline the complexities of data management and governance. Its core purpose is to enhance the discoverability, usability, and governance of data across organizations. With features like active metadata management, data discovery, and automated governance, Atlan positions itself as a pivotal tool for data teams aiming to foster a culture of data collaboration and accessibility.
Atlan stands out by integrating deeply with the modern data stack, supporting tools like Snowflake, Redshift, and BigQuery. Its user-centric design mimics consumer applications, significantly reducing the adoption barrier and enhancing user engagement.
Atlan excels in providing a robust, user-friendly platform that significantly enhances data governance and collaboration. Its unique approach to data management, featuring a blend of automation and personalization, makes it an essential tool for modern data teams. The platform's ability to integrate seamlessly with existing data ecosystems offers an unmatched advantage, ensuring that Atlan is not just a tool but a comprehensive data collaboration solution.
Who is Using Atlan?
Large Enterprises
Managing vast amounts of data across various departments.
Data Scientists and Analysts
Engaging with complex datasets to derive insights.
Compliance Officers
Ensuring data meets regulatory standards.
IT and Data Governance Teams
Overseeing data security and accessibility.
Uncommon Use Cases
Non-profits using data to drive fundraising strategies; educational institutions using it for research data management.
Key Features
Rating Breakdown
Pricing Plans
Free Trial
- Get to know Atlan with a comprehensive free trial period
Standard Plan
$500 per month
- Offering full catalog features and basic governance
Enterprise Plan
- Includes advanced governance tools and dedicated support
Atlan Use Cases
Metadata cataloging
Connect data warehouses, databases, BI tools, pipelines, and other systems to catalog organizational metadata.
Outcome: A searchable context layer across the data estate.
Data lineage
Extract upstream and downstream relationships from query history, pipelines, and connected systems.
Outcome: Faster impact analysis and more trustworthy data context.
Governance approvals
Create no-code workflows for change management, access management, entity creation, and policy approval.
Outcome: Repeatable governance with routed approvals.
Metadata enrichment
Use context agents and custom apps to generate descriptions, READMEs, SQL intelligence, tags, and other metadata.
Outcome: More complete and useful asset documentation.
AI-ready context
Expose governed catalog, lineage, glossary, quality, and knowledge context to conversational AI and MCP clients.
Outcome: Grounded AI answers and agent workflows.
Workflow Ideas with Atlan
Onboard and enrich a data source
- 1Authenticate the source with OAuth or API credentials
- 2Choose the databases, schemas, or tables to extract
- 3Schedule recurring crawls and enrich the resulting assets
Automate governance approvals
- 1Choose a change-management, entity-creation, access-management, or policy-approval template
- 2Associate the workflow with assets or governance actions
- 3Route requests to the appropriate owners for approval
Build and schedule a custom app
- 1Define the app inputs and workflow logic
- 2Publish and run the app through the Atlan API
- 3Add a schedule and monitor asynchronous workflow runs
How Atlan fits into your stack
Snowflake, Redshift, and BigQuery
Seamless integration with major data warehouses.
Tableau and PowerBi
Connects with leading BI tools for enhanced data visualization.
Slack and Microsoft Teams
Integrates with collaboration tools to keep teams aligned.
API Access
Offers extensive APIs for custom integration needs.
Pros
- +Enhanced Data Accessibility: Makes data easily searchable and accessible, promoting a data-driven culture.
- +Streamlined Compliance: Automates compliance tasks, reducing the burden on data teams and ensuring data integrity.
- +User-Friendly Interface: Intuitive design that lowers the learning curve for new users.
- +Scalability: Efficiently handles large volumes of data, making it suitable for enterprises.
- +Customization Capabilities: Allows for significant customization to fit the specific needs of different teams.
Cons
- −Complexity in Initial Setup: The initial setup can be complex depending on the existing data infrastructure.
- −Cost Implication: Might be perceived as expensive by smaller organizations or startups.
- −Dependency on Tech Support: Some advanced features require ongoing support for optimal use.
Limitations & when to consider alternatives
Known limitations
- Enterprise-oriented pricing. Atlan is documented as managed SaaS starting at $100K per year rather than a self-serve low-cost product.
- Knowledge-folder file restrictions. Knowledge folders support PDF and Markdown files, with a 50 MB maximum per file.
- Direct data-model upload limits. Data Model Ingestion limits direct uploads to 20 MB, 10 uploads per minute, and one file per run.
- Governance workflows require configuration. Governance workflows are authored in the UI, and programmatic control requires invoking existing workflows.
- Browser-dependent core experience. Atlan’s documented core platform usage is browser-based, with Google Chrome recommended for optimal use.
Look elsewhere when
- You need a native iOS or Android application.
- You need a downloadable Windows, macOS, or Linux desktop application.
- You need a low-cost self-serve free tier.
How to Use Atlan
- 1
Explore detailed tutorials and documentation available on the Atlan website to maximize the platform's capabilities, from basic operations to advanced configurations.
Who is Atlan For?
CDOs
Atlan provides an organization-wide context platform for governed data and AI adoption.
Data stewards
Stewards can manage metadata, governance workflows, ownership, policies, and data products.
Analysts
Analysts can discover assets, query data, use lineage, and ask natural-language questions.
Engineers
Engineers can use APIs, SDKs, connectors, workflows, and custom applications.
Business users
Business users can discover trusted data and access context through embedded tools and collaboration integrations.
Frequently Asked Questions
What types of connectors does Atlan support?
Atlan supports data warehouses, databases, BI tools, ETL pipelines, orchestrators, data-quality tools, and more.
How long does it take to connect a data source?
Most connectors are live within minutes after authentication, scope selection, and scheduling.
Does Atlan support custom or homegrown connectors?
Yes. Teams can build custom connectors with the Atlan App Framework and Application SDK.
What context does Atlan extract from connectors?
Atlan extracts structural metadata, lineage, operational context, and connected data-quality signals.
What file formats can I upload?
Knowledge folders support PDF and Markdown files, with a maximum file size of 50 MB per file.
Where can conversational AI be used?
Conversational AI is available in Atlan, asset-page Copilot, connected data tools, Slack, and Microsoft Teams.
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