Access Control in Atlan covers identity and access management (SSO, SCIM, users, groups, roles), permissions (personas, purposes, connection access, visibility), and audit logs. Configure who can sign in, what they can see, and how their activity is tracked.
Need to redirect users to important information that's outside Atlan?
Add business-oriented aliases to assets to improve readability and provide context. Setup supports manual entry or AI-generated aliases when Atlan AI is enabled.
How many times has someone complained to you that the data is incomplete or has issues? And how many times have you responded that it's still a work in progress or they're using the wrong data!
Bringing visibility to custom metadata and enriching it with additional context are critical requirements for data teams. Atlan enables you to highlight the most critical custom metadata with badges.
Add owners to data assets to establish clear responsibility and build trust. Asset owners maintain the asset and serve as the primary contact for questions about data frequency, status, and quality.
Add stakeholders to data domains to define people and their responsibilities. Setup requires the products module enabled and update permissions through domain policies for specific domains or subdomains.
Atlan supports configuring SSO group mappings. You will first need to [create groups](/product/capabilities/governance/users-and-groups/how-tos/create-groups) in Atlan that correspond to the groups you want to map from your SSO provider to Atlan.
Connect to data sources through alternative pathways — VPNs, API gateways, private networks, and reverse tunnels for secure access.
Learn about administration.
Establish robust AI governance frameworks that maintain compliance, mitigate risks, and drive trust through visibility, lifecycle management, and policy enforcement
Learn about are there any limits on concurrent queries?.
Export data products, domains, and subdomains as CSV — includes scope, metadata, and delivery configuration options.
Complete configuration reference for the Asset export (basic) app for enriched assets, including scope, filters, delivery, and CSV file details.
Export glossary terms and categories as CSV — includes scope, business metadata, and delivery configuration options.
Some capabilities shown here may require additional enablement or licensing. Contact your Atlan representative for details.
Essential information about using Atlan's core features, from browser requirements to data querying, asset management, and checking system status.
Set up and configure BigQuery for data quality monitoring through Atlan.
Learn how to create and maintain a centralized business glossary in Atlan to standardize terminology and definitions across your organization.
Learn about can we restrict who can query our data warehouse?.
If your Atlan tenant is hosted on a custom domain - for example, `https://<your-tenant-name>.mycompany.com` - you will need to configure your Atlan tenant to deploy the Atlan add-in for Microsoft Excel.
Customize language settings for your Atlan workspace and personal instance. Admins can set a default workspace language, and individual users can override it with a personal language preference from supported languages.
Learn how to connect your data sources to Atlan. Explore supported connectors, integration patterns, and best practices for unified catalog management.
Learn how to manage data contracts and agreements in Atlan to ensure data quality and compliance.
Create tags to classify and organize assets in Atlan. Setup requires admin user permissions, with tags displayed in sentence case in the governance center and asset filters.
Learn how to create an AI app in Atlan.
Learn how to create an AI model in Atlan.
Create data contracts to standardize agreements between data producers and consumers. Setup requires a YAML contract template and support for data quality rules enforcement.
Data domains provide a logical way of grouping data products within a specific domain or business entity - for example, functions like finance and sales, business units for different products and services, regions of operation, and more. Most importantly, data domains help in fostering collaboration and promote shared ownership and domain-level governance in your organization.
Domain policies let you control which users can (or can't) take certain actions within a data domain or subdomain - for example, creating subdomains and data products, updating metadata, and more.
You can use Atlan's form builder to create reusable forms for managing user requests. The form builder allows you to create and customize forms from one central location. Forms can support multiple input types, including text, dropdown, date, and more.
:::warning Who can do this? You will need to be an [admin user](/product/capabilities/governance/access-control/how-tos/delegate-administration) in Atlan to cr.
You must be an admin user in Atlan to enable, create, manage, and approve data governance policies.
Atlan provides basic metadata for assets like certification, owners, and descriptions. But since every data team has their own unique needs, Atlan allows you to extend these with your own unique properties.
Learn how to create and manage custom metadata attributes in Atlan to extend your data catalog with organization-specific information.
At Atlan, the goal is to power your user experience. Here are a few tips and tricks to help you get the most out of Data Exploration for you and your team!
Learn how to connect your data pipelines to Atlan. Explore ETL tools, workflow orchestration, and lineage tracking to build a comprehensive view of your data movement.
From a single data table to a collection of data assets, anything can be a data product in Atlan. Data products provide a framework for your teams to curate assets specific to a domain, business unit, region of operation, brand, and more. These curated data products then empower your data consumers to easily discover data assets, quickly get the context they need, and collaborate more efficiently.
Set up and configure Databricks for data quality monitoring through Atlan.
Delete tags in Atlan when no longer needed. Setup requires admin user permissions and removal of the tag from all tagged assets first.
Learn how to deploy the Atlan browser extension across your organization using managed browsers and MDM software on macOS and Windows.
You can [view recently visited users](/product/capabilities/discovery/concepts/what-are-asset-profiles) and total views on your assets in Atlan by default. To disable asset profile visitors, complete these steps.
Learn how to organize and manage domains in Atlan to structure your data assets in a logical and business-aligned way.
To create a more customizable experience for your users, you can turn on discovery and tracking of process assets.
Atlan allows admin users to enable or disable downloading [sample data](/product/capabilities/discovery/concepts/what-are-asset-profiles#sample-data). This can help you enforce better governance across your organization.
To enable scheduled queries, follow these steps.
Enable and configure data quality for your BigQuery connection in Atlan.
Enable and configure data quality for your Databricks connection in Atlan.
Enable and configure data quality for your Snowflake connection in Atlan.
Everything you need to know when starting with Atlan - from trials and demos to deployment options and implementation requirements.
Learn about how are resources isolated?.
On the _Assets_ dashboard in the [reporting center](/product/capabilities/reporting/references/how-to-report-on-assets), click **View** in the _All Asset Types_ dropdown menu to only see views. You can further filter by selecting a specific connector or connection as well.
Learn about how to interpret timestamps.
Learn about how to use parameterized queries?.
Learn how to install and configure the Atlan browser extension in Chrome or Edge, connect it to your Atlan workspace, and set up custom domains for your data tools.
This page provides instructions for installing the Secure Agent on a virtual machine (VM) by deploying [K3s in a rootless execution mode](https://docs.k3s.io/advanced#running-rootless-servers-experimental:~:text=to%20take%20effect.-,Running%20Rootless%20Servers,-\(Experimental\)%E2%80%8B).
Learn how to integrate Atlan with project management, communication, collaboration, automation, and identity management tools.
Invite new users to your Atlan workspace by email when SSO is not enforced, or provision them through your identity provider when SSO is enforced.
Learn about is there a dashboard to see how my metadata is populated?.
Most importantly, domains help promote shared ownership and domain-level governance in your organization.
Monitor, modify, or delete playbooks at any time, and enable notifications to track playbook runs in Slack or Microsoft Teams.
You must be an admin user in Atlan to enable, create, manage, and approve data governance policies.
Have you ever wanted to notify everyone on the system of something? System announcements allow you to do just that. For example, you could welcome your users when you're first launching Atlan. Or you could use it to warn them about planned outages to large parts of your IT landscape.
:::warning Who can do this? You will need to be an admin user in Atlan to manage other users.
Learn about monitor for runaway queries?.
Organize assets into domains and subdomains to establish logical structures aligned with business needs. Setup requires edit access to asset metadata for non-guest users.
Create groups in Atlan, add or remove users, and delete groups you no longer need to manage team access at scale.
Learn about product release stages.
Learn about quality assurance framework.
Remove tags from assets in Atlan. Identify whether tags were directly added or propagated through tag propagation before removal.
:::warning Who can do this? You will need your Amazon MSK or AWS administrator involved - you may not have access to run these tasks.
:::warning Who can do this? You will need your Amazon Redshift administrator or AWS administrator involved - you may not have access to run these tasks.
:::warning Who can do this? You will need your AWS administrator to complete these tasks - you may not have access yourself.
:::warning Who can do this? You will need your AWS administrator to complete these tasks - you may not have access yourself.
:::warning Who can do this? You need your AWS administrator to complete these tasks - you may not have access yourself.
Before you create an RDS proxy, ensure that the user created in the RDS database is enabled with basic authentication. This [method](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/rds-proxy-setup.html#rds-proxy-secrets-arns) uses a username and password to connect to the RDS database.
As a prerequisite for TLS configuration on Tableau Server only, ensure that the health check _Protocol_ of the target group is set to **HTTPS** or [modify the health check settings](https://docs.aws.amazon.com/elasticloadbalancing/latest/application/target-group-health-checks.html#modify-health-check-settings) as required.
Learn about set up amazon athena.
Atlan support will finish the configuration on the Atlan side using these values. Support will then provide you with the Snowflake private endpoint resource ID and Azure token for you to approve the request.
Learn about set up aws lambda.
Learn about set up cloudera impala.
Configure access and storage for dbt Core in Atlan, including credential setup for AWS, GCP, and Azure, and uploading dbt metadata files.
:::warning Who can do this? You will probably need your Metabase administrator to follow the below steps - you may not have access yourself.
Set up playbooks to automate metadata updates at scale using rule-based automations in Atlan. Setup requires admin user permissions in Atlan.
Set up Azure Private Link between SQL Server on an Azure Virtual Machine (IaaS) and Atlan using a Private Link Service and Internal Load Balancer.
Set up Azure Private Link between Azure SQL Database (PaaS) and Atlan using cross-subscription private endpoint connectivity.
Set up and configure Snowflake for data quality monitoring through Atlan.
Learn how to implement data stewardship in Atlan through automated workflows, policies, and task management.
Learn about suggestions from similar assets.
Learn how to use tags in Atlan to categorize and organize your data assets for improved discoverability and governance.
Learn about tenant access management.
Learn about tenant monitoring.
Learn about tenant offboarding.
Learn about troubleshoot permission issues.
Learn about troubleshooting bring your own credentials.
Learn about troubleshooting exporting large query results.
Learn about troubleshooting google bigquery connectivity.
Learn about troubleshooting microstrategy connectivity.
Learn about troubleshooting mysql connectivity.
Learn about troubleshooting on-premises database connectivity.
Learn about troubleshooting playbooks.
Learn about troubleshooting policies.
Learn about troubleshooting postgresql connectivity.
Learn about troubleshooting Snowflake connectivity.
Learn about troubleshooting snowflake tag management.
Learn about update input type for existing custom metadata.
Some capabilities shown here may require additional enablement or licensing. Contact your Atlan representative for details.
Before using Atlan AI for glossary management, your admin user must enable the Atlan AI Summary toggle in the Atlan AI section under Labs.
Learn how to use the Atlan browser extension to access metadata in-flow inside your data tools, search Atlan from any webpage, and link web pages as resources to assets.
Complete guide to managing users, configuring access controls, and understanding permissions in Atlan.
Learn how to manage users and groups in Atlan to control access and organize your data team.
Learn about what are asset profiles?.
Learn about what are partial assets?.
Learn about what are preflight checks?.
Learn about what are the query builder actions?.
Learn about what column keys does atlan crawl?.
Learn about what controls the frequency of queries?.
Learn about what is a product score?.
Atlan is the context layer for AI—the platform where metadata, semantics, lineage, and business knowledge come together so data teams and AI agents can find, understand, and act on data with confidence.