MetaKarta vs OpenMetadata

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.

OpenMetadata is an open-source platform for cataloging and governing data, bringing technical context, business meaning and organizational memory into a knowledge graph. Its capabilities include discovery, data quality, observability, lineage, semantics and memory. The graph connects schemas, tables, columns, dashboards, pipelines, ML models, owners and classifications. Glossary terms, metric definitions and relationships using RDF, OWL, DCAT and Schema.org help represent shared business meaning. For AI workflows, OpenMetadata provides an MCP server, an AI SDK and a Context Center for articles, documents and memories. Its ingestion framework has connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake and Tableau. The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD. It can be deployed in an organization's own environment, explored in a live sandbox with demo data, or used through a free cloud service with the organization's data. The self-hosted plan is listed at free, with no usage limits stated. Security documentation describes stored-secret encryption, SSL/TLS connections and external secrets manager support.