78 days
Full data governance in 78 days, with 66,000+ scanned objects, 3,000+ glossary terms and 300+ users ready to onboard.
Read the P3 Logistic Parks storyData governance software and platform
Data governance tool for your whole data stack
Dawiso catalogs your data, defines what it means, traces where it comes from and names who owns it, across the platforms you run. Your AI tools read the same approved answers.
For data governance leads, data architects and teams running AI on company data.
Self-guided, in the product itself.
- SOC 2 Type II and ISO 27001
- 40+ connectors
- Metadata only
Column GROSS_MARGIN_PCT Column in FINANCE.SALES_MARGIN
- Source Snowflake scanned 2 h ago
- Term Gross Profit Margin Approved · v3
- Lineage Snowflake › fct_gross_margin › Margin by Region
- AI access “What is gross margin?” via Dawiso MCP
24,000+ people use Dawiso every day.
What is a data governance tool?
A data governance tool records what data an organization has, what it means, where it comes from and who is responsible for it. Most tools combine a data catalog, a business glossary, data lineage, ownership workflows and quality rules. Dawiso brings all of them together, and each one works on the same asset.
- 01 Connectors 40+ sources, metadata only See all connectors
- 02 Data catalog Search every table and report Learn more about the data catalog
- 03 Business glossary One definition per term Learn more about the business glossary
- 04 Data lineage From source to Power BI Learn more about data lineage
- 05 Ownership and workflows Owners, stewards, approvals See how teams share one understanding
- 06 Quality rules Checks and SLAs on the product
- 07 Data products Find and request in the Data Market Learn more about data products
- 08 AI and MCP Approved context for AI tools Learn more about the MCP Server
How it works
Follow one metric through Dawiso
Watch the column GROSS_MARGIN_PCT pick up a layer at each step, from the first scan to an answer in an AI assistant.
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01 Connect
Connect your sources
Dawiso reads metadata from more than 30 sources, including Snowflake, Databricks, SAP HANA, Microsoft Fabric and Power BI. Scanning is read-only and copies no rows.
See all connectors -
02 Catalog
Find any table, column or report
Everyone searches one catalog in plain language, typos included.
Learn more about the data catalogAI in this step
AI drafts a description after each scan. A person approves it.
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03 Glossary
Agree on what each number means
Each business term gets one approved definition, an owner and a version history. You link it to the columns and reports that use it.
Learn more about the business glossaryAI in this step
Help me write drafts the definition. The term owner approves it.
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04 Lineage
See where the number comes from
Lineage follows the value from Snowflake through dbt to the Power BI report, down to columns where the source supports it. You see what breaks before you change anything.
Learn more about data lineage -
05 Ownership
Give every asset an owner
The owner approves changes and the steward keeps the documentation current. Workflows send each change to the right person and keep the history.
See how teams share one understanding -
06 Quality
Define quality next to the definition
Owners set quality checks and SLAs on a data product, next to its definition, and name the tool that runs each check, such as Soda, Monte Carlo or dbt.
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07 Data products
Share it as a data product
Package approved tables into data products that people find and request in the Data Market. Each request goes to the product's approver with a reason attached, and each product carries its definition, owner and lineage.
Learn more about data products -
08 AI
Answer AI questions with approved context
Claude, Cursor and other MCP clients query Dawiso through the MCP Server. They get the definition, owner and lineage along with the number.
Learn more about the MCP Server
Click through it in the product.
For AI programs
Data governance for AI
An AI assistant that finds two definitions of gross margin may pick either one. Dawiso gives it the definition Finance approved, with owner and lineage, through the MCP Server.
- AI tools sign in with the person's own Dawiso account and get only the tools that person's role allows.
- Agents draft descriptions and definitions, and people approve them.
- Dawiso works with the LLM you already run.
What is gross margin, and can I use GROSS_MARGIN_PCT for the regional review?
Gross Profit Margin is net revenue minus cost of goods sold, divided by net revenue (approved by Finance, v3). GROSS_MARGIN_PCT implements it. It comes from Snowflake through dbt and feeds the report Margin by Region. Owner: Finance controller.
via Dawiso MCPIs Dawiso the right fit?
Dawiso fits when
- Your data spans several platforms, such as Azure, Databricks, Snowflake, SAP and Power BI.
- Business teams will own the definitions.
- Your AI tools need approved context.
Look elsewhere when
- You need master data management or a BI tool.
- All your data sits on one platform and its built-in catalog covers you.
- You want a standalone data quality engine.
Teams that run on Dawiso
681,000
681,000 governed objects, with 31 people using AI tools through the Dawiso MCP Server.
Read the Seznam.cz storySecurity, deployment and pricing
Metadata only
Dawiso reads schemas, column names, SQL and report structures. It copies no rows. For sources inside your network, the Dawiso Integration Runtime runs on your side and sends only metadata over outbound HTTPS. SOC 2 Type II, ISO/IEC 27001 and 27018 certified.
Runs where you need it
SaaS on Azure, a private cloud in your own Azure or AWS tenant on the Enterprise plan, or on-premises.
Deployment and securityPriced per contributor
You pay for the people who edit content. Viewers come in a separate package, connectors are unlimited, and each contributor license covers up to 100,000 scanned objects.
See pricingStart with one domain. P3 Logistic Parks reached full data governance in 78 days.
Data governance software: frequently asked questions
What are examples of data governance tools?
Data governance tools include data catalogs, business glossaries, data lineage tools, data quality tools and access management tools. Platforms such as Dawiso combine several of them, so definitions, lineage and owners sit on the same asset. Many teams start in spreadsheets and move to a platform once their sources outgrow them.
What is the difference between a data catalog and a data governance tool?
A data catalog lists and describes data assets so people can find them. A data governance tool adds approved definitions, owners, approval workflows and rules on top of the catalog. Dawiso includes both.
Does Dawiso access our data?
Dawiso reads metadata only: schemas, columns, SQL logic and report structures. Scanning is read-only and copies no rows. For sources inside your network, the Dawiso Integration Runtime runs on your side and sends only metadata over outbound HTTPS.
How does Dawiso handle data quality?
Owners define quality checks and SLAs on each data product in Dawiso and name the tool that runs every check, such as Soda, Monte Carlo or dbt. Dawiso has no quality engine or anomaly detection of its own, so the checks themselves run in that tool.
Do AI tools respect user permissions?
Yes. Through the MCP Server, an AI tool signs in with the person's own Dawiso account and uses the same API and authentication as that person. It gets only the tools their role allows, and tools that change content are limited to the Contributor and Admin roles.
How long does implementation take?
Most teams start with one domain, such as Finance, and add the next once the first one works. P3 Logistic Parks reached full data governance in 78 days.
How much does data governance software cost?
Vendors price per user, per connector or by data volume, and enterprise plans are quoted individually. Dawiso charges per contributor, with viewers in a separate package and unlimited connectors; each contributor license covers up to 100,000 scanned objects. Plans are on the pricing page.
See Dawiso for yourself
Open the product tour and explore the catalog, glossary, lineage and ownership in the product itself, at your own pace.
Data governance across your whole stack