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Data catalog · For enterprise teams

The data catalog
your whole team
actually uses.

One platform to discover and understand all your data. Connect 40+ sources and Dawiso builds the catalog for you. AI enriches the metadata and your stewards stay in the loop.

  • 40+ connectors ready on day one
  • Built for business users, not just IT
  • SOC 2 Type II · ISO 27001 · GDPR

30 minutes, live in the platform, with your data.

Samuel Nagy Michal Bambušek Kateřina Kováčová
Reply within 24 hours Our team picks up your request the same day
Dawiso Data Catalog: search, lineage, glossary, and ownership across 40+ sources
40+ native connectors

One catalog. Your whole stack.

Scan databases, warehouses, BI tools, and pipelines. We add new connectors every month.

Teradata
Databricks
Kafka
Keboola
Amazon Redshift
Microsoft SQL Server
Snowflake
Power BI
Qlik
Data Lake
Oracle
PostgreSQL
MySQL
WhereScape
SAP HANA
REST API
Excel
PowerDesigner
Tableau
File
Jira
dbt
GitLab
Teradata
Databricks
Kafka
Keboola
Amazon Redshift
Microsoft SQL Server
Snowflake
Power BI
Qlik
Data Lake
Oracle
PostgreSQL
MySQL
WhereScape
SAP HANA
REST API
Excel
PowerDesigner
Tableau
File
Jira
dbt
GitLab
GitLab
dbt
Jira
File
Tableau
PowerDesigner
Excel
REST API
SAP HANA
WhereScape
MySQL
PostgreSQL
Oracle
Data Lake
Qlik
Power BI
Snowflake
Microsoft SQL Server
Amazon Redshift
Keboola
Kafka
Databricks
Teradata
GitLab
dbt
Jira
File
Tableau
PowerDesigner
Excel
REST API
SAP HANA
WhereScape
MySQL
PostgreSQL
Oracle
Data Lake
Qlik
Power BI
Snowflake
Microsoft SQL Server
Amazon Redshift
Keboola
Kafka
Databricks
Teradata
40+ native connectors
100k+ assets per tenant
24,000+ data professionals served daily
5.0★ Capterra customer rating

Trusted by data teams at leading enterprises

Inside the platform

This is what your team gets

Real product screens: the catalog, lineage, and search your analysts will use every day.

Dawiso catalog detail: table with technical metadata, owner, steward, linked business terms, and audit history
Every table carries its owner, steward, linked business terms, and full audit history.
Dawiso interactive data lineage diagram with owners, classification, and metadata in the detail panel
Interactive lineage down to column level. Trace any metric back to its source for impact analysis.
Dawiso advanced search combining full-text, semantic, and attribute search across all asset types
Full-text, semantic, and attribute search in one box, filtered across every asset type.
What you get

A data catalog that works the way
your team already thinks.

Three outcomes teams notice in the first month with Dawiso.

Find anything in seconds

Your data sits in 40+ systems and nobody remembers which table holds what. Dawiso indexes all of it, so a search lands on the right asset in seconds instead of a Slack thread.

Dawiso search combining full-text, semantic, and attribute search across every asset type
Full-text, semantic, and attribute search across every asset type.
  • One index, every source. Databases, warehouses, BI reports, and dashboards in a single search.
  • Search by name, meaning, or tag. Full-text, semantic, and attribute search find the asset even when you forget its exact name.
  • Column-level lineage. See where each number comes from and what breaks if it changes.
  • 40+ connectors on day one. Dawiso builds the catalog for you, no manual entry.
Search your stack — book a demo

Trust the data

An analyst who can't tell which table is current rebuilds the report from scratch. Dawiso attaches the business meaning, owner, and quality status to every asset, so your team trusts what it finds.

Dawiso catalog detail showing glossary term, owner, steward, and quality status on a data asset
Each asset carries its glossary term, owner, steward, and quality status.
  • Business glossary on every asset. The column links to what "revenue" means in your business.
  • Owner and steward on record. Your team knows who to ask instead of searching Slack channels.
  • Quality status in view. A stale or failing dataset flags itself before someone ships a report on it.
  • AI fills the gaps. It drafts missing descriptions; a steward approves before they go live.
See it on your data — book a demo

Govern without friction

Governance usually means a bottleneck and a spreadsheet. Dawiso records classification, access, and policy on the asset itself, so it scales from 100 to 100,000 assets without growing the data team.

Dawiso lineage showing classification, ownership, and policy traveling with each asset
Classification, ownership, and policy travel with the asset through lineage.
  • Classification on each asset. Sensitivity and GDPR scope live where the data lives.
  • Access and policy in one place. No parallel spreadsheet to keep in sync.
  • Scales without headcount. From 100 to 100,000 assets, the data team stays small.
  • SOC 2 Type II, ISO 27001, GDPR. Compliance built in, not bolted on.
Govern at scale — book a demo
★★★★★
We have a clear overview of data flows. Before Dawiso, it was complicated to see where data comes from and have all sources documented in one place. Dawiso made this easy with comprehensive data lineage. Support is always there for us when needed.
Jan K. Business Solution Data Architect
5.0 on Capterra
★★★★★
Utilizing strong expertise in initial discussions and building robust partnerships during implementation led to exceptional results, enabling the project to go live in a very short timeframe.
Michal P. Data Engineer
5.0 on Capterra
★★★★★
Our original system was too rigid and expensive to maintain. We need to keep track of responsibility, versioning and track every little change in the documentation. Dawiso does all of it plus it's flexible and user friendly.
Petr J. IT Project Manager, ČEZ
5.0 on Capterra
30 minutes · No slides

What happens in the demo

A live 30-minute session against your stack. Here is the full agenda.

1 0 – 5 min

Tell us your messiest dataset

You describe the data problem you want solved: broken lineage, vague glossary, missing ownership, AI context. We tailor the demo to it.

2 5 – 25 min

Watch it run live in Dawiso

We connect a representative source, scan it, and walk through search, lineage, and glossary on data that looks like yours.

3 25 – 30 min

Get an honest "fit / no fit"

You get a direct answer on pricing and implementation timeline. If Dawiso is the wrong tool for your situation, we say so on the call and point you to a better one.

FAQ

Quick answers

The questions data leads ask us before booking. The rest, we cover live.

What is a data catalog?

A data catalog is a searchable inventory of every data asset in your organization: tables, reports, and pipelines, each enriched with business context like owner, meaning, and lineage. Dawiso builds that inventory for you by scanning your sources.

What is the difference between a data catalog and a data dictionary?

A data dictionary documents the technical metadata of a single database. A data catalog covers your whole stack and layers business glossary, column-level lineage, and ownership on top. Dawiso ships both in one platform: the dictionary fills itself from scans and the catalog adds the context.

What is the best data catalog tool?

The one your team actually uses. Enterprise suites like Collibra or Alation win on checkbox count; Dawiso wins on adoption: it's built for business users, not just IT, so the whole team runs it without a steep learning curve. A 30-minute demo on your own stack is the fastest way to judge fit.

What does it cost?

Pricing is per active user plus a flat platform fee, typically a fraction of what Collibra or Alation quote for comparable scope. We quote your exact number on the call once we know your source count.

Is the demo a sales pitch?

The demo is a working session on your data and your stack. You tell us the problem, we run it live in Dawiso, and you leave with a clear "fit / no fit" call.

Do I need to prepare data?

You can sit back and watch us run the demo on representative data or a sandbox. If you want your own source on the call, share access ahead of time and we will have it scanned.

Same-week availability

Book your 30-minute working session

Bring your data, your stack, and your questions. We run the demo live in 30 minutes.

Samuel Nagy Michal Bambušek Kateřina Kováčová
The team you'll be talking to

30 minutes, live in the platform, with your data.