Atlan Lakehouse vs MetaKarta
Atlan Lakehouse
atlan.comMetaKarta
metakarta.comSide by side
| Figure | Atlan Lakehouse | MetaKarta |
|---|---|---|
| Price from | — | $4.17/mo |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Active Metadata Management Software | 7.6 (#11) | 7.9 (#9) |
| Spec score · Metadata Management Software | 7.3 (#10) | 7.8 (#7) |
| Audience | Atlan presents the Context Lakehouse as infrastructure for enterprise AI agents and the teams building AI systems. | Meta Integration says MetaKarta is intended for data professionals in large enterprises and government agencies. |
| Deployment | Atlan describes itself as cloud-first, recommends single-tenant SaaS, and lists AWS, Microsoft Azure, and Google Cloud Platform as hosting options. | Customer-managed deployment can run on-premises or in private/public cloud environments including AWS, Azure and GCP. |
| Founded | 2020 | 1997 |
| Purpose | Atlan describes Context Lakehouse as its knowledge architecture for storing, managing, and serving the context AI agents need to operate at enterprise scale. | MetaKarta is an enterprise metadata management platform with one shared metadata repository for lineage, cataloging, governance and semantic definitions. |
Plans
MetaKarta
- Data Lineage Starter$50 a year
- Semantic Hub Starter$50 a year
- AdvancedPriced on request
- StandardPriced on request
- UltimatePriced on request
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.
MetaKarta
MetaKarta is an enterprise metadata management platform built around one shared repository for lineage, cataloging, governance, and semantic definitions. Its lineage capability parses SQL, Python, Informatica mappings, SSIS packages, stored procedures, and COBOL copybooks to calculate column-level lineage. The catalog attaches business context to technical metadata harvested from data systems; governance applies ownership, versioning, and policy at the point of use and retains change history for audits. Semantic Hub compiles governed business definitions into native database and BI formats and provides compiled context for AI agents. Meta Integration states that MetaKarta has more than 400 native connectors. Customer-managed deployment can run on-premises or in private or public cloud environments, including AWS, Azure, and GCP. The platform provides REST API access and an administrator-enabled Model Context Protocol server. Licensing uses concurrent-user packs with producer and consumer roles, and editions include unlimited metadata assets. Pricing is on request, with no free plan. Data Lineage Starter and Semantic Hub Starter each cost $50 a year.