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Dawiso empowers over 24,000 daily data users worldwide

Why 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 ships in production in 2-4 weeks.

Compare Dawiso vs. Select Star on your own data in 30 minutes.

Trusted by leading enterprises

Dawiso is trusted by data-driven teams across industries

Dawiso vs Select Star

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

Features Dawiso Select Star
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 Same response SLA on every plan, every customer Support continuity tied to Snowflake's integration timeline
AI agents Production MCP read+write (Databricks MCP Marketplace), Technical Writer Agent in every plan, Agentic Data Governance Steward Q3 2026 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 production 2-4 weeks 4-8 weeks; integration timeline now set by Snowflake

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

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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

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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
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
Product Direction
10.0
7.5

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

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

AI Context Layer

Independent agentic roadmap on day one
Dawiso Logo dawiso Winner
Native MCP + agentic stewards
  • MCP server, REST, embeddings in every 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

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

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

Procurement model

Independent catalog vendor, any warehouse
Dawiso Logo dawiso Winner
One product, every feature, every plan
  • No SKU shopping, no tier-gated capabilities
  • 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

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.

Independent by design, not by stated intention

Select Star was acquired by Snowflake and its team is being folded into Horizon Catalog. Dawiso is an independent, catalog-focused product with cross-platform lineage across Databricks, Snowflake, dbt, Tableau and Power BI built into the core data model.

Predictable seat-based plan, no per-table overage

Select Star bills per-table beyond the entry tier, so estate growth raises the bill as data scales. Dawiso bills per active user - no scan-volume surprises, no metering on every new dataset.

Production agents and same-tier support

MCP server (read+write, Databricks MCP Marketplace), agentic data steward, and technical writer agent ship in every plan. Same response SLA on every contract size, on an independent roadmap not bound to Snowflake Horizon.

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
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?

Two to four weeks is the typical Dawiso rollout end-to-end 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.

Ready to see why teams pick Dawiso over Select Star?

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

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