DataGalaxy is a capable European catalog whose flexibility reviewers describe as a "double-edged sword" - it works well only if you are certain how the system should model your processes, and reviewers note it "requires a good design phase at the start," with a service-partner ecosystem positioned to run the full project cycle. Dawiso is configured in-product - schemas, workflows and roles set up by your own team - with a read+write MCP Server and pre-built agents, and first use cases in 2-4 weeks without a mandatory design-phase or consulting engagement.
TL;DR
Configure in-product in weeks, not through a partner. Read+write MCP and named agents, not read-only context. Account manager from the Corporate plan.
Self-guided, in the real product. No sales call; a work email unlocks the full tour.
From a Dawiso customer
Dawiso gave us a place where we can define things together. Earlier, a lot of definitions were based on assumptions.
Ville PaloniemiData Development Manager, Olvi
99%+of data products with a named owner at Komerční banka
Built on customer feedback and publicly available sources.
Features
Time to value
First use cases in 2-4 weeks; full named rollout ~11 weeks (P3 Parks, 78 days)
6-12 weeks typical; design phase recommended up front
Time-to-value & configuration model
Schemas, workflows and roles configured in-product by your team; 2-4 week time-to-value, no required services engagement
Reviewers note the high flexibility "requires a good design phase at the start" and a service-partner ecosystem is positioned to run the full project cycle (use cases, implementation, training)
AI agents and MCP
Production MCP read+write (Databricks MCP Marketplace) from the Corporate plan, Technical Writer Agent and Agentic Data Governance Steward in every plan
DataGalaxy MCP Server exposes catalog context to external AI assistants (read-only context); in-product AI (Metabot, Auto Description) runs in suggestion/assist mode
Customization model
Schemas, workflows, roles configurable in-product
Highly configurable, but reviewers warn flexibility "only works if you are 100% certain of how you want the system to reflect your data processes"
Connector breadth
40+ native plus open APIs across modern SaaS stack
Solid on common SQL warehouses, lighter on modern transformation tools
02Customer proof
Governance the business actually uses, live within a quarter
A bank, an insurer and a real-estate group run their catalog, glossary and data products on Dawiso, with owners named and business users contributing rather than waiting on a central team.
-Reviewers warn the flexibility only works "if you are 100% certain of how you want the system to reflect your data processes"
-Reviewers say it "requires a good design phase at the start to make a successful implementation"
-DataGalaxy positions a service-partner ecosystem to run "the entire project cycle, from structuring use cases, to implementation and team training"
-Some reviewers note limited local administration of certain config items (e.g. tags) and UX customization that "lacks a bit of maturity" - though others praise its configurability
GlossaryNO AI
Customer LTV
⚠Manual term entry, no AI suggestions
AI assistnone
Cross-linkmanual
Steward-typing
PACKAGINGShip-ready out of the box, not out of an SOW
PACKAGING
Procurement model
Ship-ready out of the box, not out of an SOW
dawisoWinner
One product, the full catalog in every plan
✓No SKU shopping: one product in three plans
✓AI agents and MCP included, not premium add-ons
✓Dedicated account manager from the Corporate plan
PRICE TIER
dawiso$
DataGalaxy$$
DataGalaxyLimited
Custom quote, mid-market positioning
-No public per-seat list price, every deal is custom-quoted
-Advanced lineage and premium connectors priced as separate add-ons
-Public proof at large-enterprise scale is thin outside the EU mid-market
PlansCUSTOM QUOTE
Entry 🔒 sales
Advanced lineage 🔒 add-on
Premium connectors 🔒 add-on
See the difference yourself. Click through the real product, at your own pace.
04Price and ratings
What it costs, and what users say
A 0-10 total-cost score from public AWS Marketplace starting prices, next to verified G2 ratings.
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.
CRITERIA
Ease of Use
9.7
8.6
Ease of Setup
9.4
8.4
Quality of Support
9.4
8.9
Data Lineage
9.3
8.7
05FAQ
Frequently asked questions
Still deciding? Contact us and we will answer in a short time.
Can we set up and adapt the catalog ourselves, or do we need a consulting engagement?
With Dawiso, your team configures schemas, workflows and roles directly in-product, with a 2-4 week time-to-value and no required services engagement. DataGalaxy can be self-configured too, but reviewers note its flexibility "requires a good design phase at the start," and DataGalaxy positions a service-partner ecosystem to run the full project cycle - so many deployments lean on a consulting or partner engagement to stand up and adapt the catalog.
How long does migration from DataGalaxy take?
Dawiso reaches first use cases in 2-4 weeks, with a full named rollout (P3 Parks) in ~11 weeks. Migration from DataGalaxy adds a metadata export and a glossary mapping pass for terms, ownership, and lineage edges. Most teams complete that inside one additional sprint, which is faster than a fresh DataGalaxy deployment usually lands.
Can we run DataGalaxy and Dawiso in parallel during evaluation?
Yes. Point both at the same warehouse, route a small business team to Dawiso for a 30-day shadow trial, and compare adoption side by side. We support this evaluation pattern explicitly and ship the connectors, glossary, and agentic stewards on day one so the comparison is honest from week one.
When does DataGalaxy still make sense?
DataGalaxy has built a competent glossary product and a steady EU mid-market motion. If your committee is comfortable running a design-phase up front, working with a delivery partner, and the in-product AI (Metabot, Auto Description) in assist mode meets your AI needs, DataGalaxy fits the shape of that program. If you want to configure the catalog yourself in weeks and ship read+write MCP-grounded agents that act inside the catalog, that is the Dawiso case.
See why teams pick Dawiso over DataGalaxy
Explore Dawiso in the real product, at your own pace. No sales call; a work email unlocks the full tour.
dawiso Winner 
DataGalaxy Limited