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Dawiso

Dawiso is a metadata context platform and data catalog for enterprises. It connects catalog, business glossary, and lineage so teams find trusted data in minutes and AI agents answer accurately using real business context.

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Dawiso is a data catalog and AI context layer for enterprises, built on the idea that AI is only as good as the context it is given. It connects an organization's metadata, business glossary, and data lineage so teams can find trusted data quickly and AI agents can respond with accurate business context. It is trusted by more than 24,000 data professionals.

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The platform generates a map of your data that can be produced in hours, reviewed and trusted by humans, and maintained over time. An extensive and growing list of connectors lets Dawiso scan existing data sources and pipelines, and the team can build custom scanners for specific technologies on request.

Dawiso includes a business glossary, documentation, diagrams, and optional data models and a data product catalog, plus user management with LDAP, Kerberos, Microsoft SSO, and Azure AD sync. It offers a REST API, scanner scheduling, the ability to run scanners on your own servers, and on-premises deployment for organizations with strict compliance needs.

Through its MCP Server, Dawiso exposes metadata, glossary, lineage, and documentation to MCP-enabled chatbots and LLMs, helping AI know which tables, fields, or metrics are relevant and grounding answers in real business context. Corporate and Enterprise plans also support bringing your own LLM. Pricing is user-based with unlimited connectors and tables included.

  • CategoryAI Data Analysis
  • Pricing ModelPaid
  • DeploymentCloud, On-premises
  • PlatformsWeb

  • Enterprise data catalog with business glossary and lineage

  • Metadata context layer that grounds AI in real business context

  • MCP Server to connect AI agents and LLMs to your metadata

  • Extensive, growing list of connectors plus custom scanners on request

  • Documentation, diagrams, and optional data models and product catalog

  • Scanner scheduling and the option to run scanners on your own servers

  • User management with LDAP, Kerberos, Microsoft SSO, and Azure AD sync

  • REST API, on-premises deployment, and bring-your-own-LLM support

  1. Connect sources: Add connectors to scan your existing data sources and pipelines.

  2. Build the catalog: Generate a reviewed map of your data with glossary, lineage, and documentation.

  3. Find trusted data: Let teams search the catalog to find and understand the right assets quickly.

  4. Connect AI: Expose metadata to LLMs and agents through the Dawiso MCP Server.

  5. Govern and scale: Manage users, schedule scanners, and choose cloud or on-premises deployment.

  • Enterprise data catalog
  • AI context grounding
  • Data governance and compliance
  • Faster data discovery
  • Business glossary and documentation

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