Atlan starts in weeks at the base tier, but reviewers repeatedly describe a steep learning curve, heavy upfront configuration, and routine catalog work - templates, Excel import/export, Playbooks - that they need the Atlan support team to complete. Dawiso runs schema, workflow, and role customization in-product on a single data model, targeting 2-4 week time-to-value.
TL;DR
Configure in-product in weeks, not through a services engagement. Single data model, business + technical linked. 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
By connecting our internal AI platform to Dawiso's MCP server [...] If they search for a general term, one with several sub-definitions, we can present all of those to them in an easy-to-consume way. It's a game-changer for how we communicate internally.
Jesper BergeskansHead of Data Engineering, Eye Security
40,500+scanned objects across Metabase, Snowflake and dbt at Eye Security
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)
First value ~4-8 weeks; 2-4 months for a wider rollout
Time to value & setup
Single data model, schemas/workflows/roles configured in-product - 2-4 week time-to-value, no services engagement
Reviewers cite a steep learning curve and config that 'took longer than expected'; routine template, Excel import/export and Playbooks work 'always needs help from the Atlan support team' (PeerSpot/G2)
Customization model
Schemas, workflows, roles configurable in-product
Reviewers consistently flag setup complexity (G2: 9.2 ease-of-setup but "steep learning curve")
Governed-wiki glossary
Long definitions, role-based editing, formal approvals
Functional glossary, lighter governance workflows
AI agents
Production MCP read+write from the Corporate plan, Technical Writer Agent and Agentic Data Governance Steward in every plan
Atlan MCP server available; agentic features and Context Sprints route through enterprise tier pricing
Product packaging
Single product, the full catalog in every plan
Starter / Premier / Enterprise tiers; AWS Marketplace exposes starter, advanced features quote via sales
02Customer proof
A catalog your AI tools can read, in production today
Data teams connect their assistants and agents to Dawiso through the MCP server, so answers come from governed definitions, owners and lineage.
40,500+scanned objects across Metabase, Snowflake and dbtEye Security
-Column-level coverage drops on warehouse-to-BI handoffs
LineageSTALE 47d
1 parser missRead-only edges
AtlanSTEP 5/9
Workflowpending_review
Owner queue3 items
Last updated2026-04-12
DefinitionCLV_v2_FINAL.pdf
Approvalneeds SI signoff
ADOPTIONConfigure it yourself in weeks, not through a services engagement
ADOPTION
Time to value and self-serve setup
Configure it yourself in weeks, not through a services engagement
dawisoWinner
One data model, configured in-product
✓Schemas, workflows and roles editable directly in Dawiso - no SOW
✓Business and technical metadata linked by design, no silos to wire up
✓Routine setup is self-serve, not a vendor support ticket
✓Targets 2-4 week time-to-value across 40+ connectors
TERM Approved
Customer LTV
✦AI suggests 3 ownersOK
AtlanLimited
Powerful, but reviewers flag a steep learning curve
-G2 reviewers call the volume of features and config options 'overwhelming'
-The Personas/Purposes permission model 'can feel unnecessarily complex to new users'
-Initial configuration 'took longer than expected'
-Reviewers say templates, Excel import/export and Playbooks 'always need help from the Atlan support team'
GlossaryDRAFT 184d
Customer LTV
⚠Definition missing
0 reviewersNo owner assigned
AtlanSTEP 5/9
Workflowpending_review
Owner queue3 items
Last updated2026-04-12
DefinitionCLV_v2_FINAL.pdf
Approvalneeds SI signoff
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 features included, not a premium add-on
✓No services SOW required to deploy
PRICE TIER
dawiso$
Atlan$$$
AtlanLimited
Tiered SKUs with sales-gated capabilities
-AWS Marketplace shows entry only; everything past it is sales-gated
-Capability gates between Business and Enterprise tiers
-Premium support and advanced AI agents priced separately
Plans
StarterEntry
Business🔒 Sales
Enterprise🔒 Sales
AtlanSTEP 5/9
Workflowpending_review
Owner queue3 items
Last updated2026-04-12
DefinitionCLV_v2_FINAL.pdf
Approvalneeds SI signoff
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
9.0
Ease of Setup
9.4
9.2
Quality of Support
9.4
9.3
Data Lineage
9.3
9.1
05FAQ
Frequently asked questions
Still deciding? Contact us and we will answer in a short time.
Will we need Atlan-style services help to configure Dawiso?
No. In Dawiso, schemas, workflows, and roles are editable directly in the product, so routine setup - new domains, governance steps, stewardship flows - is self-serve rather than a support ticket or a services SOW. Atlan reviewers report a steep learning curve and that template, Excel import/export, and Playbooks work often needs the Atlan support team; Dawiso targets 2-4 week time-to-value, with a dedicated account manager from the Corporate plan.
How long does migration from Atlan take?
Dawiso reaches first use cases in 2-4 weeks on the same connectors and the same data; a full named rollout (P3 Parks) reached production in ~11 weeks. Migration from Atlan adds metadata export and a mapping pass, which most teams complete inside one additional sprint.
Can we run Atlan 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.
When does Atlan still make sense?
If your committee anchors heavily on procurement scale signals (large reference logos, multi-year enterprise contracts) and treats deployment timeline as flexible, Atlan can fit. If speed to value, in-product configuration without a steep learning curve, and a single transparent contract move the needle, that is the Dawiso case.
See why teams pick Dawiso over Atlan
Explore Dawiso in the real product, at your own pace. No sales call; a work email unlocks the full tour.