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SPECIFICTION
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Atlan Lakehouse vs Collibra

Atlan Lakehouse

atlan.com

Collibra

collibra.com

Side by side

FigureAtlan LakehouseCollibra
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Machine Learning Data Catalog Software7.5 (#4)7.5 (#5)
Spec score · Active Metadata Management Software7.6 (#11)7.5 (#12)
Spec score · Data Lineage Tools7.5 (#19)7.5 (#20)
Spec score · Metadata Management Software7.3 (#10)7.3 (#11)
DeploymentAtlan describes itself as cloud-first, recommends single-tenant SaaS, and lists AWS, Microsoft Azure, and Google Cloud Platform as hosting options.Collibra documentation lists both Collibra Platform and Collibra Platform Self-Hosted among its supported product versions.
Founded20202008
IntegrationsAtlan lists native connectors for data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, including Snowflake, BigQuery, Tableau, dbt, and Airflow.Collibra says it offers 100+ native integrations, partner integrations and APIs for connecting data systems.
SupportAtlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues.Collibra provides support during normal business hours and 24 hours a day, seven days a week for Severity 1 incidents.

Plans

Atlan Lakehouse

  • Atlan Context LakehousePriced on request

Atlan Lakehouse pricing →

Collibra

  • Collibra PlatformPriced on request

Collibra pricing →

In their own words

Atlan Lakehouse

Atlan Lakehouse is a knowledge architecture for storing, managing, and serving context to enterprise AI agents. Its design combines a knowledge graph, Iceberg-native file storage, vector-native search, and time travel. Context is exposed through MCP, A2A, SQL, and APIs. Atlan says its agents can use the Enterprise Data Graph to create asset descriptions, connect business terms, and surface business questions. Native connectors cover data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, with Snowflake, BigQuery, Tableau, dbt, and Airflow listed as examples. Connectors read metadata such as schemas, structures, lineage, ownership, and timestamps while source data remains in source systems. The App Framework lets developers, partners, and customers create custom connectors and apps with APIs, SDKs, CLI tools, and UI extension points. Atlan recommends single-tenant SaaS and lists AWS, Microsoft Azure, and Google Cloud Platform. A self-deployed runtime runs in the customer environment and requires additional enablement and licensing. Pricing is on request, and no free trial is offered.

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Collibra

Collibra Platform connects data producers and consumers and brings together structured and unstructured sources for trusted, AI-ready data. Its product stack includes AI Command Center, Data Catalog, Data Privacy, Data Governance, Data Quality & Observability, Data Lineage and Data Marketplace. Collibra AI Governance lets organizations catalog, assess and monitor AI use cases, models and agents. Automated workflows coordinate governance decisions and help address knowledge gaps, while Data Quality & Observability offers profiling and automated or custom monitoring to detect and address anomalies. Data can be collected through Excel or CSV imports, JDBC connectors, native integrations, APIs or manual creation. Collibra says it offers 100+ native integrations, partner integrations and APIs. Its Collibra Everywhere extension shows business context in web applications and BI tools including Salesforce, Databricks, Tableau and Slack. Product versions include Collibra Platform and Collibra Platform Self-Hosted. The company was founded in Belgium in 2008 and is headquartered in New York and Brussels. Pricing is on request; support is available during normal business hours and around the clock for Severity 1 incidents.

Visit collibra.com