About Atlan
Atlan is a data catalog and active metadata platform used to discover, understand and govern data across a company. The vendor now presents it as a context layer for AI, meaning it collects knowledge about data and business logic so that both people and AI agents can work with trusted information.
Its main pieces include an enterprise data graph that connects business systems, connectors and apps, data lineage and a data marketplace. Context agents are described as AI teammates that document tacit knowledge, while a context engineering studio helps teams test and ship that understanding. A context lakehouse stores the metadata in open formats such as Iceberg and supports vector search, and the context is made available in tools like Slack, Teams, Claude and ChatGPT.
Atlan is a proprietary commercial SaaS product. The vendor routes pricing questions through its sales team, and it offers live demos and a community hub for users.
Key features
- Enterprise data graph across business systems
- Data lineage tracking
- Data marketplace for discovery
- AI agents that document data context
- Iceberg-native context lakehouse with vector search
- Connectors for common data tools
Good fit for
- →Cataloging data across a large data estate
- →Giving AI agents trusted business context
- →Tracing lineage between sources and dashboards
- Tags
- data-catalog
- metadata
- data-governance
- data-lineage
- ai-context
- data-discovery
- data-marketplace
- enterprise
Atlan: questions and answers
- What is Atlan used for?
- Atlan is an active metadata platform and data catalog, now framed as a context layer for AI, that helps teams discover, govern and document their data. It is a good fit for cataloging data across a large data estate, giving AI agents trusted business context, and tracing lineage between sources and dashboards.
- How much does Atlan cost?
- Atlan doesn't publish fixed prices; pricing is quoted on request.
- Is Atlan open source?
- No. Atlan is proprietary (closed-source) software. In the Data Pipelines & ETL category, open-source options include CKAN, Pachyderm and Airflow.
- What are some alternatives to Atlan?
- Atlan competes with Collibra, Alation and Informatica.
Open-source alternatives to Atlan
See all
CKAN
Data Pipelines & ETL
CKAN is an open-source DMS (data management system) for powering data hubs and data portal
OSS★ 5.1k
Pachyderm
Data Pipelines & ETL
Data-Centric Pipelines and Data Versioning
Apache-2.0vs Databricks★ 6.3k
Airflow
Data Pipelines & ETL
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache-2.0vs Astronomer★ 47k
Apache Spark
Data Pipelines & ETL
Apache Spark - A unified analytics engine for large-scale data processing
Apache-2.0vs Databricks★ 44k
Kafka
Data Pipelines & ETL
Apache Kafka - A distributed event streaming platform
Apache-2.0vs Striim★ 34k
Kestra
Data Pipelines & ETL
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Apache-2.0vs AWS Step Functions★ 29k
SaaS alternatives to Atlan
See all
Collibra
Data Pipelines & ETL
Data intelligence and governance platform with catalog, lineage and quality tools
SaaS
Alation
Data Pipelines & ETL
Data catalog and governance platform for finding and understanding enterprise data
SaaS
Informatica
Data Pipelines & ETL
Enterprise data integration, quality and governance platform
SaaS
Microsoft Purview
Security
Data governance, compliance and information protection suite from Microsoft
SaaS
Dataedo
Database Tools
Data catalog and database documentation tool that generates schema docs and ER diagrams
SaaSDenodo
Data Pipelines & ETL
Data virtualization and logical data management platform
SaaS

