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Dawiso vs Select Star

Why teams choose Dawiso over Select Star

Snowflake acquired Select Star in November 2025 to expand Horizon Catalog's view of the enterprise data estate, so the product's independent roadmap and long-term direction now sit inside a warehouse vendor. If your team wants a single-purpose catalog whose neutrality across Databricks, Snowflake and dbt is structural rather than a vendor's stated intention, Dawiso delivers first use cases in 2-4 weeks.

TL;DR

Independent by design, not by stated intention. Predictable seat-based plan, no per-table overage. Production agents in every plan.

Self-guided, in the real product. No sales call; a work email unlocks the full tour.

From a Dawiso customer

The close dialogue with the Dawiso team is what made the pilot work: when our model didn't fit the tool, they adapted the tool to us.
Daniel Fallenius Information Architect, Bertel O. Steen
596,947 relationships between objects (lineage and dependencies) at Seznam.cz
Read the Bertel O. Steen story

01At a glance

Dawiso vs Select Star, side by side

Built on customer feedback and publicly available sources.

Features
Vendor independence Catalog is Dawiso's only product - not acquired, not owned by a warehouse vendor; cross-platform by design across Databricks, Snowflake and dbt Acquired by Snowflake (Nov 2025); team and platform being folded into Horizon Catalog, with cross-stack direction now set by a warehouse vendor
Roadmap continuity Continuous shipping, agentic AI roadmap committed for 2026 Forward investment flows into Snowflake's Horizon Catalog; support continuity follows Snowflake's integration timeline
Support continuity Help Center and forum on every plan, account manager from Corporate Support continuity tied to Snowflake's integration timeline
AI agents Production MCP read+write (Databricks MCP Marketplace) from the Corporate plan, Technical Writer Agent and Agentic Data Governance Steward in every plan Select Star ships a fully featured MCP server (Modern Data Catalog for AI Agents, AWS Marketplace, July 2025) and REST API; standalone agentic roadmap consolidates with Horizon
Architecture coverage 40+ connectors across warehouses, BI, ETL, on-prem, SaaS Pre-acquisition multi-source (Postgres, MySQL, dbt, Airflow, Tableau, Power BI); Snowflake has stated cross-stack coverage will continue
Time to value First use cases in 2-4 weeks; full named rollout ~11 weeks (P3 Parks, 78 days) First value 2-6 weeks; shorter, but less enterprise governance depth

02Customer proof

Lineage across the stack, from warehouse to report

Dawiso reads the warehouses, transformation tools and BI tools it connects to, and draws lineage from source to report in one catalog.

  • 596,947 relationships between objects (lineage and dependencies) Seznam.cz
  • 8,700+ Power BI reports scanned across 1,300+ workspaces Stora Enso
  • ~60 days from kick-off to a fully operational solution, DataHub content migrated Bertel O. Steen

03Feature by feature

Five capabilities buyers ask about, one verdict each

Open a row for what you get in each product.

GLOSSARY Independent vendor, focused on the catalog
GLOSSARY

Business glossary

Independent vendor, focused on the catalog
Dawiso Logo dawiso Winner
Wiki-style, AI-assisted, actively shipping
  • Long structured definitions, formal approval flows
  • Role-based editing rights per term and per domain
  • Inline AI suggestions for definitions, owners, links
Select Star Logo Select Star Limited
Clean glossary; roadmap consolidating with Horizon
  • Glossary product is genuinely clean and modern
  • Standalone roadmap is consolidating with Snowflake Horizon Catalog
  • Three-year buying decision now includes Snowflake, not just Select Star
AI Independent agentic roadmap on day one
AI

AI Context Layer

Independent agentic roadmap on day one
Dawiso Logo dawiso Winner
Native MCP + agentic stewards
  • REST API in every plan, MCP server from the Corporate plan
  • Agentic data steward + technical writer included
  • Production MCP write, not read-only endpoints
Select Star Logo Select Star Limited
MCP shipping, standalone roadmap consolidating with Horizon
  • Select Star MCP is in the AWS Marketplace AI Agents category (July 2025)
  • No pre-built Technical Writer Agent or Agentic Data Governance Steward
  • Forward AI investment routes into Snowflake Horizon, not standalone Select Star
LINEAGE Editable and vendor-independent across the stack
LINEAGE

Live data lineage, editable in-product

Editable and vendor-independent across the stack
Dawiso Logo dawiso Winner
Auto + manual edits, column-level, cross-stack
  • Live lineage from warehouse and transformation tools
  • Edit edges in-product where the parser misses
  • Impact analysis on every schema change
Select Star Logo Select Star Limited
Strong auto column-level, multi-source pre-acquisition
  • Auto column-level lineage was the Select Star strength
  • Pre-acquisition coverage included Postgres, MySQL, dbt, Airflow, Tableau, Power BI
  • Cross-stack commitment going forward is now Snowflake's call
VENDOR Independent by design, not by stated intention
VENDOR

Vendor independence

Independent by design, not by stated intention
Dawiso Logo dawiso Winner
Catalog is Dawiso's only product, independent of any cloud warehouse
  • Single-purpose catalog, not acquired and not owned by a warehouse vendor
  • Cross-platform lineage spans Databricks, Snowflake and dbt - column-level and editable in-product
  • One data model links business and technical metadata, so the catalog stays warehouse-neutral by design
  • Deploys SaaS, customer Azure or on-prem at 100% feature parity - no single-cloud dependency
Select Star Logo Select Star Limited
Being absorbed into Snowflake's Horizon Catalog
  • Acquired by Snowflake in November 2025 to expand Horizon Catalog's view of the data estate
  • Everest Group: the role of independent catalogs 'will depend on how Snowflake integrates Select Star into Horizon'
  • Everest Group notes independent metadata providers 'will need to reassess where they add value for Snowflake customers'
  • Standalone roadmap and cross-stack direction now sit inside a warehouse vendor
PACKAGING Independent catalog vendor, any warehouse
PACKAGING

Procurement model

Independent catalog vendor, any warehouse
Dawiso Logo dawiso Winner
One product, the full catalog in every plan
  • No SKU shopping: one product in three plans
  • AI agents included, not a premium add-on
  • Independent vendor with no acquisition overhang
Select Star Logo Select Star Limited
Renewals now route through Snowflake
  • Contract renewals are with Snowflake, not an independent vendor
  • Forward roadmap consolidates with Horizon Catalog
  • Snowflake-centric estates fit; warehouse-independent strategies prefer an independent vendor

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
Dawiso
Select Star
Meets Requirements
9.3
8.9
Ease of Use
9.7
9.1
Ease of Setup
9.4
8.8
Quality of Support
9.4
8.3

05FAQ

Frequently asked questions

Still deciding? Contact us and we will answer in a short time.

Will Select Star keep working as an independent, multi-warehouse catalog now that Snowflake owns it?

Snowflake has stated that cross-stack integrations continue, and Select Star ships a fully featured MCP server for AI agents. The open question independent analysts raise is direction: Everest Group writes that the role of independent catalogs will depend on how Snowflake integrates Select Star into Horizon, and that as Snowflake builds native discovery and column-level lineage into Horizon, independent providers will need to reassess where they add value for Snowflake customers. That uncertainty lands on the buyer during evaluation. Dawiso avoids the question structurally: the catalog is our only product, it is not owned by a warehouse vendor, and cross-platform lineage across Databricks, Snowflake and dbt is part of the core data model rather than a roadmap commitment.

How long does migration from Select Star to Dawiso take?

Dawiso reaches first use cases in 2-4 weeks, with a full named rollout (P3 Parks) in ~11 weeks with the same connectors against the same warehouse. Migration from Select Star adds a metadata export and a mapping pass for glossary, lineage, and ownership, which most teams complete inside one additional sprint. We have done this migration; ask for a structured plan if your buying committee needs the comfort.

Can we run Select Star and Dawiso in parallel during evaluation?

Yes. Connect both products to the same warehouse, point a small business team at Dawiso for a 30-day shadow trial, and compare adoption side by side. Select Star is consolidating with Snowflake Horizon while Dawiso ships an independent roadmap; the divergence usually shows up inside the first 2-4 weeks.

When does Select Star still make sense?

For Snowflake-centric estates the Horizon path is coherent, and existing Select Star customers comfortable that the catalog conversation now sits with Snowflake can ride out the contract. If you are betting on long-term cross-stack neutrality and want a catalog whose vendor is not also your warehouse provider, that is the Dawiso case.

See why teams pick Dawiso over Select Star

Explore Dawiso in the real product, at your own pace. No sales call; a work email unlocks the full tour.

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