Dawiso vs OpenMetadata

Dawiso is an enterprise data governance platform that organizes metadata into governed data products for people and AI agents. Its catalog discovers data sources and uses AI to add business context to metadata. Search includes intelligent tools and dynamic filters, while knowledge graphs and column-level lineage help users explore relationships. Teams can connect technical metadata with business definitions, ownership, usage details and sensitivity classifications. Dawiso advertises 40+ native connectors, including Snowflake, Databricks, BigQuery, SQL Server, PostgreSQL, Oracle, Power BI and Tableau; some integrations are marked as on the roadmap. Deployment options include SaaS on Azure, private cloud and on-premises. For hybrid setups, Dawiso says only metadata is transferred, using TLS-secured transmission. The Corporate plan includes an MCP Server, and the company says AI agents access context through MCP and APIs with the same permissions as people. Standard starts at €445 a month, with five user seats, five contributor licenses, 20 viewer licenses, unlimited connectors and Slack forum support. A 14-day trial is listed; there is no free plan.

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.