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Dawiso empowers over 24,000 daily data users worldwide

Why choose Dawiso
over OpenMetadata?

OpenMetadata is powerful if your team wants to operate the stack. Dawiso gives you the same enterprise metadata outcomes as a managed platform, with business adoption, agents, MCP, and support included from day one.

Compare Dawiso vs. OpenMetadata on your own data in 30 minutes.
Calculate your TCO

Trusted by leading enterprises

Dawiso is trusted by data-driven teams across industries

Dawiso vs OpenMetadata

Built on real customer feedback and publicly available sources. For deeper insights, book a 30-minute live demo on your own data.

Features Dawiso OpenMetadata
Operating model Fully managed in every deployment option (SaaS / your Azure / on-prem), 100% feature parity, vendor-handled upgrades Self-hosted OSS edition runs a multi-service stack (MySQL/PostgreSQL + Elasticsearch/OpenSearch + OM server + Airflow ingestion) started in dependency order; in-place DB upgrade migrations are owned by your team, with docs recommending a metadata backup first
Open source story Closed source, public pricing, every feature included OSS is genuine Apache 2.0; AI Studio, Reverse Metadata, Service Insights, governance leadership dashboards positioned as paid Collate Cloud
Governance workflows Lifecycle, approvals, ownership in every plan Custom Auto-Classification and governance leadership dashboards are Collate Cloud features
AI agents and MCP Managed production MCP read+write (Databricks MCP Marketplace), Technical Writer Agent in every plan, Agentic Data Governance Steward Q3 2026 OpenMetadata OSS exposes a read+write MCP server at /mcp; AskCollate, AI Agents/AutoPilot, AI Studio gated to Collate Cloud
Time to value Fully managed; first use cases in 2-4 weeks; full named rollout ~11 weeks (Kooperativa, 78 days) 4-12 weeks with a strong engineering team; longer as adoption and governance are on you
Pricing transparency Public list price, one product, every plan OSS free / Collate Cloud sales-gated, no public list price

Where Dawiso runs in production

A named enterprise case study and rotating G2 community reviews. Both running today.

Kooperativa Customer case study

“Significantly accelerated work, fewer errors and delays”

Dawiso automatically loads millions of objects from databases and data models, presenting and making them accessible to users from various departments in a meaningful way. As a result, the work of analysts and developers has significantly accelerated, and the number of errors and delays in working with data has decreased.

Kooperativa

Insurance, Vienna Insurance Group - 2.4M clients

Read full case study
G2 1 / 3

The Ultimate Data Maze Transparency

“We have a clear overview of data flows. Before Dawiso, it was a bit complicated to see where the data comes from and to have all the sources documented in one place. Dawiso made this easy with its comprehensive data lineage. We also build on a unique capability in data modeling, which allows us to set up an optimal data design process. Support is always there for us when needed.”

Jan K.

Business Solution Data Architect

More on G2

Efficient Implementation: Domain Expertise and Partnership

“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

More on G2

Dawiso Product Review

“The interface is clean and intuitive, which makes it incredibly easy to navigate, even for someone who isn't particularly tech-savvy. I found it easy to locate the tools and features I needed, saving time and minimising any learning curve. The user-friendly dashboard provides a clear overview of all key metrics, and it feels like a natural extension of my workflow.”

Amy C.

Customer

More on G2
G2 Reviews Gartner Peer Insights capterra badge

Top-rated by data teams

Verified reviews on G2, Gartner Peer Insights, and Capterra.

Comparison of G2 ratings

Verified user reviews on G2, reflecting real-world experiences.

CRITERIA
Dawiso
OpenMetadata
Ease of Use
9.7
8.6
Ease of Setup
9.4
7.8
Quality of Support
9.4
8.4
Data Governance
8.9
8.0
Active Metadata Management
9.5
8.5

Price comparison

What you actually pay per user, per month. Based on public pricing and reported deal sizes.

Total cost of ownership score, 0-10. Lower is better.
Dawiso
2.1/10
Collibra
9.8/10
Ab Initio
6.8/10
Atlan
5.6/10
Select Star
5.0/10
DataHub
4.1/10
OpenMetadata
4.1/10
Alation
3.2/10
DataGalaxy
2.7/10
Secoda
2.6/10

TCO scores anchor on public AWS Marketplace starting subscription pricing, normalized 0-10 where lower is better. Full 3-year program cost varies by services SOWs, paid modules (DQ, lineage, AI agents), and steward FTE. Methodology updated 2026-05.

Feature by feature

What you actually get, side by side.

Five capabilities most buyers care about. One row each. No fine print, no SKU shopping.

GLOSSARY

Business glossary

Governed curation at business-team scale
Dawiso Logo dawiso Winner
Wiki-style, AI-assisted, governed
  • Long structured definitions, formal approval flows
  • Role-based editing rights per term and per domain
  • Excel bulk import and export for mass curation
OpenMetadata Logo OpenMetadata Limited
Engineer-shaped, light governance in OSS
  • Glossary modelling exists, but UX is engineer-first
  • Lifecycle and approval workflows live in Collate Cloud, not OSS
  • Bulk import / export is CSV-based in OSS; Dawiso ships native Excel I/O for stewardship at scale
AI

AI Context Layer

Production-ready MCP and agents included on day one
Dawiso Logo dawiso Winner
Native MCP + agentic stewards
  • MCP server, REST, embeddings in every plan
  • Agentic data steward + technical writer included
  • No extra SKU, no separate vector store
OpenMetadata Logo OpenMetadata Limited
OSS MCP shipping; agentic AI Cloud-gated
  • OpenMetadata OSS MCP server is at /mcp (open-metadata.org)
  • Collate Cloud adds AI Studio and Dynamic Agents on top of OSS
  • No pre-built Technical Writer Agent or Agentic Data Governance Steward in OSS or Cloud
LINEAGE

Data lineage

Editable inside the UI, not via config files
Dawiso Logo dawiso Winner
Auto + manual edits, column-level
  • Live lineage from warehouse and transformations
  • Edit edges in-product where the parser misses
  • Impact analysis on every schema change
OpenMetadata Logo OpenMetadata Limited
Strong technical lineage, engineer-managed
  • Column-level lineage works across common SQL warehouses
  • Edits and corrections typically run through ingestion config, not UI
  • Business-context lineage is thinner than the technical view
DEPLOYMENT

Operating model and packaging

Managed and complete, not a stack you operate
Dawiso Logo dawiso Winner
Fully managed, every capability in every plan
  • Managed in every deployment option - SaaS, your Azure tenant, or on-prem - with 100% feature parity
  • No multi-service stack to run, patch, or scale; upgrades handled by the vendor
  • Technical Writer Agent and read+write MCP Server ship in every plan, with BYO-LLM (Azure OpenAI, Mistral, Llama, Granite)
  • In-product customization of schemas, workflows, and roles - no services engagement
OpenMetadata Logo OpenMetadata Limited
Self-host the stack; advanced AI gated to Collate Cloud
  • OSS edition is a multi-service stack (database + search + server + Airflow ingestion) you start in order, patch, and scale yourself
  • In-place DB upgrade migrations are a recurring community pain point (e.g. GitHub issues #22914, #15576, #24949); the OpenMetadata docs themselves recommend backing up metadata before upgrading
  • AskCollate, AI Agents/AutoPilot, AI Studio, Custom Auto-Classification, Reverse Metadata, Service Insights, and leadership dashboards are gated to paid Collate Cloud, not in the Apache-2.0 edition
  • Guaranteed/priority support and a 99.9% uptime SLA come only with Collate Cloud; the OSS tier relies on a community Slack with no SLA
PACKAGING

Procurement model

Ship-ready out of the box, not out of an SOW
Dawiso Logo dawiso Winner
One product, every feature, every plan
  • No SKU shopping, no tier-gated capabilities
  • AI features included, not a premium add-on
  • No services SOW required to deploy
OpenMetadata Logo OpenMetadata Limited
OSS free / cloud sales-gated
  • Marketed as open source - the practical version is paid Collate Cloud
  • Self-hosting OSS means operating the stack and forfeiting governance and AI features
  • Collate Cloud pricing is sales-gated, no public list

Dawiso connects to your entire data landscape

Modern data stacks are complex. Bring your entire tech stack into one connected view. Scan, ingest, and catalog every piece of metadata.

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
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
Jira
dbt
GitLab
GitLab
dbt
Jira
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
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
ABC logoKPMG LogoPWC LogoRandom ForestNei ConsultingPROFINIT LogoDolphin consulting

Dawiso partners with leading data consultancies to support smooth implementation across industries

Why teams switch to Dawiso

Built for data teams who want results, not complexity.

Managed in every deployment, not a self-hosting program

No multi-service stack to operate, no in-place DB upgrade migrations to own. Dawiso runs as a managed service across SaaS, your Azure tenant, or on-prem - 100% feature parity, vendor-handled upgrades.

AI in every plan, not gated to Collate Cloud

AskCollate, AI Agents, AutoPilot, AI Studio, Reverse Metadata, Service Insights and Custom Auto-Classification sit in paid Collate Cloud. Dawiso ships the Technical Writer Agent and read+write MCP Server in every plan.

Public pricing, one product, every plan

Dawiso publishes a list price and includes every feature on every plan. OpenMetadata Collate Cloud is sales-gated with no public list, and a 99.9% SLA + guaranteed support are tied to that paid tier.

Frequently asked questions

Everything you need to know about the comparison. Can't find the answer you're looking for? Contact us and we will answer you in a short time
Is OpenMetadata free, and how does that compare to Dawiso?

The Apache-2.0 OpenMetadata edition is free to license, but self-hosting it is a multi-service stack - database, search, server, and an Airflow ingestion workflow - that your team starts in dependency order, patches, scales, and migrates on every upgrade, where the docs recommend backing up metadata first. In practice that means a meaningful time-to-production and an ongoing maintenance commitment - the real comparison is total cost of ownership, not the license. You can model your own numbers with our TCO calculator. Dawiso is fully managed in every deployment option - SaaS, your Azure tenant, or on-prem - so there is no infra to run and time-to-value is 2-4 weeks. The AI and automation features many teams want from OpenMetadata - AskCollate, AI Agents, Reverse Metadata, Service Insights - are gated to the paid Collate Cloud, whereas Dawiso ships its Technical Writer Agent and read+write MCP Server in every plan.

How long does migration from OpenMetadata take?

Dawiso reaches first use cases in 2-4 weeks, with a full named rollout (Kooperativa) in ~11 weeks. Migration from a self-hosted OpenMetadata adds a metadata export and a mapping pass, which most teams complete inside one additional sprint. Teams already on Collate Cloud usually move faster because the metadata model is closer.

Can we run OpenMetadata and Dawiso in parallel during evaluation?

Yes. Point both at the same warehouse, run a 30-day shadow trial with a small business team on Dawiso, and compare adoption side by side. We support this evaluation pattern explicitly.

When does OpenMetadata still make sense?

If your team is engineering-heavy, comfortable running the multi-service OpenMetadata stack on Kubernetes, owning in-place upgrade migrations, and contributing to open-source code over filing tickets, OpenMetadata fits. If you also want a managed catalog, the AI features in every plan, and public pricing in one product, that is the Dawiso case.

Ready to see why teams pick Dawiso over OpenMetadata?

Book a 30-minute live demo on your own data and see the difference for yourself.

Calculate your TCO