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Dawiso empowers over 24,000 daily data users worldwide

Why choose Dawiso
over Collibra?

Modern data teams cannot park a governance program inside a multi-quarter services engagement, then watch business users struggle to adopt it. Collibra is widely reported as hard to navigate for non-technical users and assembled from acquired modules, while Dawiso links business and technical metadata in one data model so business users self-serve from day one.

Compare Dawiso vs. Collibra on your own data in 30 minutes.

Trusted by leading enterprises

Dawiso is trusted by data-driven teams across industries

Dawiso vs Collibra

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

Features Dawiso Collibra
Time to production 2-4 weeks, no services SOW required 6-12 months, services-led implementations the norm
Architecture Single product, single data model, one source of truth Assembled from acquired modules (lineage, quality, privacy) integrated as separate SKUs; CLI Harvester being EOL-d July 2026 in favour of Edge
Business + tech alignment One graph, business and technical context linked by design Business and technical metadata sit in separate silos, the biggest blocker for AI grounding
Business-user adoption Single product, one data model linking business and technical metadata; business users self-serve from day one Reviewers call it complex for non-business users with 'simpler relationship management' a stated improvement area; assembled from acquired modules
AI agents and MCP Production MCP read+write, Technical Writer Agent in every plan, Agentic Data Governance Steward Q3 2026 Collibra ships an MCP Server (Databricks Marketplace, 100+ customers) and AI Command Center (May 2026); AI Governance is a separate paid module
Support model Same response SLA on every plan Premium-tier support is faster; base tier waits longer

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
Collibra
Meets Requirements
9.3
8.4
Ease of Use
9.7
8.1
Ease of Setup
9.4
7.8
Quality of Support
9.4
8.2
Product Direction (% positive)
10.0
9.4
Data Governance
8.9
7.7
Knowledge Base
8.6
N/A
Active Metadata Management
9.5
7.9

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

Adopted 3× faster¹
¹ Average time from kickoff to 100 published terms - Dawiso vs Collibra customer interviews, 2025.
Dawiso Logo dawiso Winner
Wiki-style, AI-assisted
  • Inline AI suggestions for definitions, owners, related terms
  • Real-time collaboration & approvals
  • Auto-link to dashboards & tables
Collibra Logo Collibra Limited
Forms-driven, gated by approval queues
  • Assets stay unsearchable until they reach final approval state
  • Stewards become a queue, not enablers - approvals stack up for weeks
  • Business users bounce on first visit - navigation cited as the #1 G2 complaint
AI

AI Context Layer

96% vs 38% answer confidence¹
¹ Internal benchmark, N=120 natural-language queries grounded against catalog metadata, run 2026-Q1.
Dawiso Logo dawiso Winner
Native MCP + REST + embeddings
  • Grounded answers from your real metadata
  • Plug into Claude, ChatGPT, Copilot, your agents
  • No extra SKU, no separate vector store
Collibra Logo Collibra Limited
MCP shipping; AI Governance is a separate paid module
  • Collibra MCP Server and AI Command Center launched May 2026 (Databricks Marketplace, 100+ customers)
  • AI Governance ships as a separate paid module, gated to top-tier contracts
  • Gartner reviewers describe search as "weak and frustrating", flagged for years
LINEAGE

Data lineage

Editable where it matters
Dawiso Logo dawiso Winner
Auto + manual edits, column-level
  • Live lineage from warehouse + transformations
  • Edit edges where parsing misses
  • Impact analysis on every change
Collibra Logo Collibra Limited
Two lineage types, Harvester being EOL-d
  • Two lineage types (Business + Technical); CLI Harvester (acquired SQLdep) being EOL-d in 2026 in favour of Edge-based lineage
  • Customer feedback on Gartner / G2 cites lineage gaps on complex estates; Collibra is migrating to Edge to address this
  • Column-level lineage requires the paid Lineage module; table-level is the default
ADOPTION

Built for business users, not just data engineers

Adoption starts on day one
Dawiso Logo dawiso Winner
One product, one data model - business users self-serve from day one
  • One data model - business glossary and technical metadata linked, no silos
  • Search-first, business-user-friendly catalog UX
  • In-product customization of schemas, workflows and roles - no services engagement
  • Time-to-value in weeks, not quarters
Collibra Logo Collibra Limited
Reviewers describe Collibra as hard to adopt for non-technical users
  • BARC (05/2024): 'a complicated tool to use out of the box, specially for people not involved in data management'
  • Reviewers note it is 'complex for non-business users' with 'simpler relationship management' a stated improvement area
  • BARC (05/2024) flags the search bar and UX as 'challenging for new users to navigate' - a dated review, so may have since improved
  • Successful deployment realistically depends on considerable technical expertise or an implementation partner
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 agents and MCP included, not premium add-ons
  • No services SOW required to deploy
Collibra Logo Collibra Limited
Modular SKUs with services overhead
  • Lineage, privacy and AI Governance each priced as separate modules
  • Personnel and services costs typically dwarf the license itself
  • Custom connector development priced per integration on top of the base

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.

Business users self-serve from day one

One product, one data model linking business and technical metadata. Search-first UX and in-product configuration mean non-technical users find what they need without an IT ticket - the reverse of the adoption friction reviewers flag on Collibra.

One product, not a stitched suite

Collibra is assembled from acquired modules priced as separate SKUs. Dawiso ships one unified catalog with one data model - same glossary, same lineage, same agents, every plan.

Production in 2-4 weeks, not 6+ months

No services SOW, no stewardship rollout program. Connectors, glossary, lineage, and agentic stewards are live on day one - your team configures schemas in-product, not through a delivery partner.

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 Dawiso easier for business users to adopt than Collibra?

Collibra is frequently described by reviewers as complex for non-technical users - BARC's Data Management Survey 25 (05/2024) calls it 'a complicated tool to use out of the box, specially for people not involved in data management,' and flags the search and UX as challenging for new users (a dated review, so Collibra may have shipped improvements since). Dawiso takes a different approach: a single product with one data model that links business and technical metadata, a search-first catalog UX, and in-product customization of schemas, workflows and roles - so business users self-serve from day one and most teams reach time-to-value in weeks rather than the multi-quarter rollouts reported for Collibra. Note that Collibra also has user-friendly counter-reviews, so this is a difference of emphasis and design rather than an absolute claim.

How long does migration from Collibra take?

Two to four weeks is the typical Dawiso rollout end-to-end - same connectors, same data, same week. Migration from Collibra adds a metadata export and a mapping pass for glossary terms, ownership, and lineage edges. Most teams complete that inside one additional sprint, a fraction of the six-to-twelve-month timeline a fresh Collibra program usually carries.

Can we run Collibra and Dawiso in parallel during evaluation?

Yes. Connect both to the same warehouse, point a small business team at Dawiso for a 30-day shadow trial, and compare adoption side by side. We support this evaluation pattern explicitly. Most teams notice the difference between a single product and the stitched-acquisition stack within the first sprint.

When does Collibra still make sense?

If your committee anchors on a Magic Quadrant Leader brand, your program is set up for a multi-quarter services engagement with a heavy stewardship-led delivery model, and procurement is comfortable with a modular SKU structure, Collibra fits the shape of that program. If speed to value, business-user self-service from day one, an agent layer your AI tools can actually use, and a single transparent contract move the needle, that is the Dawiso case.

Ready to see why teams pick Dawiso over Collibra?

Book a 30-minute live demo on your own data, or take the comparison home as a PDF.

Download full comparison