Dawiso
Dawiso is an enterprise data governance platform that organizes metadata into trusted, AI-ready data products and a shared governed representation for people…
What Dawiso is
Dawiso is an enterprise data governance platform that organizes metadata into trusted, AI-ready data products and a shared governed representation for people and AI agents. Its catalog discovers data sources and enriches metadata with business context using AI. Users can search with dynamic filters, explore knowledge graphs and column-level lineage, and 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 and transmission is TLS-secured. The Corporate plan includes an MCP Server, while the homepage says agents access context through MCP and APIs with the same permissions as people. A 14-day trial is listed; there is no free plan.
Good
- Catalog adds business context to metadata with AI
- Offers knowledge graphs and column-level lineage
- Lists 40+ native connectors
- Deployment includes SaaS, private cloud, and on-premises
- 14-day trial listed
Watch out
- No free plan
- 100,000-object limit per contributor
- Some connectors are marked as on the roadmap
Who it suits
Dawiso is aimed at enterprises, including organizations in banking, insurance, energy, and manufacturing. It may suit teams seeking metadata discovery, glossary, lineage, and deployment options including on-premises.
Verdict
Dawiso combines cataloging, business context, and governance controls, with deployment choices for enterprise environments. Review connector availability and the per-contributor object limit when evaluating the paid plans.
Plans and prices
From Dawiso's own pricing page, checked 15 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Standard | €445 a month | 5 user seats · unlimited connectors · standard applications · Slack forum support · monthly |
| Corporate | Priced on request | 60 user seats · MCP Server · SQL access to all metadata · dedicated account manager · contact sales |
| Enterprise | Priced on request | 260+ user seats · test environment · possible on-premise deployment · adjustable support contract and SLA · contact sales |
The facts
Each one read from Dawiso's own pages, with the date it was checked.
What it does
- AI access
- The Corporate plan includes an MCP Server that connects AI assistants to Dawiso metadata, and the homepage says agents can access context through MCP and APIs with the same permissions as people.checked 29 Sep 2026
- AI features
- AI capabilities include natural-language Ask, summaries, automatic descriptions, writing assistance and dictionary grouping.checked 15 Oct 2026
- AI model connectivity
- Customers can connect OpenAI or Azure OpenAI accounts, while Corporate and Enterprise plans support bring-your-own-LLM configurations.checked 15 Oct 2026
- APIs
- Dawiso documents Database, REST and SQL APIs for bulk extraction, analytics, workflow automation, CRUD operations and reporting.checked 15 Oct 2026
- Availability
- The technical documentation states 99% annual SaaS availability excluding planned maintenance and specified third-party or customer outages.checked 15 Oct 2026
- Backups
- The service performs daily backups, keeps 30 daily copies and documents restoration within one week.checked 15 Oct 2026
- Business glossary
- Glossary terms, metrics and calculations can be versioned, reviewed, re-approved and enriched with AI-generated drafts.checked 15 Oct 2026
- Catalog
- Its data catalog discovers and catalogs data sources and enriches metadata with business context using AI.checked 29 Sep 2026
- Connector availability
- The connectors page marks some integrations as “On the Roadmap,” and provides a form to request a connector.checked 29 Sep 2026
- Data catalog
- The catalog scans warehouses, lakes, BI tools, business systems and documents, storing metadata with column-level lineage and quality signals.checked 15 Oct 2026
- Deployment
- Deployment options are Azure-hosted SaaS, full on-premises installations and Enterprise hybrid or private-cloud setups.checked 15 Oct 2026
- Deployment and data handling
- Deployment options include SaaS on Azure, private cloud, and on-premises; in hybrid setups Dawiso says only metadata is transferred and transmission is TLS-secured.checked 29 Sep 2026
- Developer extensibility
- Developer documentation covers application packages, custom assets, connectors, automation rules, workflows and deep technical configuration.checked 15 Oct 2026
- Documentation and support
- The help center provides separate user and developer documentation, release notes, troubleshooting material, SQL API guidance and programmatic Markdown access.checked 15 Oct 2026
- Governance controls
- Assets and definitions can have owners, policies, audit trails, approval workflows and stewardship roles.checked 15 Oct 2026
- Integration Runtime
- The Dawiso Integration Runtime runs in customer infrastructure on Windows, Linux or Docker and sends compressed metadata over HTTPS.checked 15 Oct 2026
- Integrations
- Dawiso advertises more than 40 connectors, including Snowflake, Databricks, BigQuery, Kafka, dbt, Tableau, Power BI, Oracle, PostgreSQL and Jira.checked 15 Oct 2026
Where it runs
- Browser requirements
- Supported clients are current Microsoft Edge or Chrome on Windows or Mac with a minimum 1024×768 display.checked 15 Oct 2026
The company
- Company founding and size
- LinkedIn lists Dawiso as founded in 2019, privately held, headquartered in Prague and employing 51–200 people.checked 15 Oct 2026
- Company history
- Dawiso says it was spun out of UD4D after a Société Générale Prague Center of Excellence project in 2019.checked 15 Oct 2026
- Company legal name
- Crunchbase identifies the private company as Dawiso s.r.o., headquartered in Prague, Czech Republic.checked 15 Oct 2026
- Founded
- 2019checked 28 Sep 2026
- Glossary and ownership
- Teams can connect technical metadata with business definitions, ownership, usage details, and sensitivity classifications.checked 29 Sep 2026
Money
- Free trial
- New accounts receive a 14-day trial with full features, a prepared testing environment and checklists.checked 15 Oct 2026
Alternatives to Dawiso
- 1
DataHub
Free planOpen sourceWebAPILinuxmacOS7.6Free plan - 2
Apache Atlas
Free planOpen sourceWebAPILinuxSelf-hosted7.2Free plan - 3
Aristotle Metadata Registry
WebAPISelf-hosted6.9 - 4
MetaKarta
WebAPIExtensionLinux6.5From $50 a year - 5
Alex Solutions
WebAPISelf-hosted6.3 - 6
OpenMetadata
Free planWebAPISelf-hosted6.1Free plan