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Aristotle Metadata Registry vs Atlan Lakehouse

Aristotle Metadata Registry

aristotlemetadata.com

Atlan Lakehouse

atlan.com

Side by side

FigureAristotle Metadata RegistryAtlan Lakehouse
Price from$4/mo—
Free plan——
Free trialYes—
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published101
Spec score · Metadata Management Software8.9 (#1)7.3 (#10)
Founded20142020
IntegrationsThe maker offers supported APIs, custom connectors and migration from existing systems or Excel and Word files.Atlan lists native connectors for data platforms, databases, BI tools, ETL pipelines, orchestrators, and data quality tools, including Snowflake, BigQuery, Tableau, dbt, and Airflow.
PurposeThe browser-based registry records and governs business knowledge about data in a central, searchable metadata system.Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale.
SupportSubscriptions include an online knowledge base, video tutorials and community forums, and the maker also offers training sessions and consulting.Atlan documents 24/7 support availability and 24/7 SRE support for critical P0 issues.

Plans

Aristotle Metadata Registry

  • Secure hosting$4 a month
  • Protected hosting$6 a month
  • Micro$3,000 a month
  • Starter (Tablion)$4,000 a month
  • Mini$6,000 a month
  • Premium (Tablion)$7,000 a month
  • Small$9,000 a month
  • Enterprise (Tablion)$10,000 a month
  • Medium$15,000 a month
  • Large$25,000 a month

Aristotle Metadata Registry pricing →

Atlan Lakehouse

  • Atlan Context LakehousePriced on request

Atlan Lakehouse pricing →

In their own words

Aristotle Metadata Registry

Aristotle Metadata Registry is a browser-based registry for recording and governing business knowledge about data in a central, searchable system. It supports data dictionaries, code lists, business glossaries, vocabularies, performance indicators and classifications. Search covers definitions, codes and links, with spelling suggestions, filters and facets. Rich-text editors include spell-checking, linked definitions and wizards that identify similar content. Teams can track issues, peer review metadata, inspect a complete audit trail and run automated quality checks. Governance workflows record endorsement decisions and control publication permissions through business rules. Documented APIs connect data systems, and custom integration services are available. The maker describes AWS cloud hosting, a 99.9% uptime guarantee and deployment within one day. Standard Cloud hosting is included with subscriptions; Secure and Protected Cloud add isolation. Plans specify author and collaboration licences, while Micro and Mini limit storage to 20,000 and 50,000 metadata items. Listed plans range from $3 a month to $25 a month.

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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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