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Atlan Lakehouse

atlan.com

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Spec score 7.5 #4 of 14 in Machine Learning Data Catalog Software

What it is

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.

Spec sheet

Purpose
Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale.Read 5 Oct 2026 · atlan.com
Audience
Atlan presents the Context Lakehouse as infrastructure for enterprise AI agents and the teams building AI systems.Read 5 Oct 2026 · atlan.com
Deployment
Atlan describes itself as cloud-first, recommends single-tenant SaaS, and lists AWS, Microsoft Azure, and Google Cloud Platform as hosting options.Read 5 Oct 2026 · docs.atlan.com
Trial
Atlan's onboarding FAQ says users can sign up for a product tour with a business email to learn about the product.Read 5 Oct 2026 · docs.atlan.com
Integrations
Atlan lists native connectors for data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, including Snowflake, BigQuery, Tableau, dbt, and Airflow.Read 5 Oct 2026 · atlan.com
Compliance
Atlan's documentation lists SOC 2 Type II, HIPAA, ISO 27001, and GDPR among its certifications or compliance frameworks.Read 5 Oct 2026 · docs.atlan.com
Support
Atlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues.Read 5 Oct 2026 · docs.atlan.com
Founded
2020Read 28 Sep 2026 · atlan.com
Architecture
It combines a knowledge graph, Iceberg-native file storage, vector-native search, and time travel.Read 5 Oct 2026 · atlan.com
Context pipeline
Atlan says its AI agents can use the Enterprise Data Graph to generate asset descriptions, link business terms, and surface business questions.Read 5 Oct 2026 · atlan.com
Custom connectors
The Atlan App Framework lets developers, partners, and customers build custom connectors and apps using APIs, SDKs, CLI tools, and UI extension points.Read 5 Oct 2026 · atlan.com
Data handling
Atlan says its connectors read context such as schemas, structures, lineage, ownership, and timestamps, while actual source data stays in the source systems.Read 5 Oct 2026 · atlan.com
Open access
The lakehouse makes context accessible through MCP, A2A, SQL, and APIs.Read 5 Oct 2026 · atlan.com
Self-deployed runtime
Atlan's Self-Deployed Runtime runs in the customer's environment and requires additional enablement and licensing.Read 5 Oct 2026 · docs.atlan.com

Plans and prices

Atlan Context Lakehouse Priced on request Pricing not listed; the pricing page redirects to a sales contact form Read 5 Oct 2026 · atlan.com

Every Atlan Lakehouse plan and price →

Strong points and limits

Strong points

  • Knowledge graph, file storage, vector search, and time travel
  • Context available through MCP, A2A, SQL, and APIs
  • Native connectors include Snowflake and BigQuery
  • Custom connectors supported through an app framework
  • Metadata stays linked to source systems

Limits

  • No free trial is offered
  • Pricing is available only on request
  • Self-deployed runtime requires additional licensing
  • Single-tenant SaaS is the recommendation

Who it suits

Atlan presents the Lakehouse for enterprise AI infrastructure and teams building AI systems that need governed organizational context.

Verdict

Atlan Lakehouse focuses on organizing metadata and business context for enterprise AI agents rather than moving source data. Buyers should weigh its connector ecosystem, deployment model, and additional requirements for self-deployed runtime.

Where Specifiction places it

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