Used For

• +**Your team wastes 3 hours finding the right table for a simple report** → Search finds it in 30 seconds, shows you who else uses it and how
• +**Data pipeline breaks at 2am and you're playing detective to find the impact** → See exactly what reports and dashboards will be affected before anyone notices
• +**Compliance team needs to find all tables with customer emails** → AI automatically tags sensitive data and tracks everywhere it flows
• +Bulk AI descriptions fill in documentation for hundreds of tables with one click - no more blank wikis
• +Shows you the most popular queries and joins so you know what data actually matters to people

Best For

• >Your analysts spend half their day hunting for data instead of analyzing it
• >Data pipelines break and nobody knows what else will break downstream
• >You're preparing for compliance audits and have no idea where sensitive data lives

Not For

• -Solo developers or teams under 20 people — you're paying enterprise prices to catalog data you could memorize
• -Companies wanting plug-and-play simplicity — you'll need someone to set up service accounts and review AI-generated tags monthly
• -Teams not on modern data stacks like Snowflake or BigQuery — it connects to 20+ tools but they're all the expensive ones

Pairs With

• *Snowflake (the data warehouse where all your important numbers live and die)
• *dbt (for data transformations that Select Star maps automatically so you can see the chain reaction)
• *Tableau (where your dashboards live and Select Star shows you which tables feed them)
• *Looker (another BI tool that Select Star connects to for complete data lineage)
• *Salesforce (as a data source that flows into your warehouse for analysis)
• *Slack (where you'll get notifications about data changes instead of surprise broken dashboards)

The Catch

• !Snowflake acquired them in 2024, so expect tighter integration with their ecosystem but possibly less love for other warehouses
• !The magic depends on having good query logs — if your team doesn't run many queries, the lineage mapping gets sketchy
• !You'll spend the first month cleaning up AI-generated descriptions that sound like a robot wrote them (because it did)

Bottom Line

Replaces the Excel spreadsheet where someone tried to document your data sources two years ago and never updated it.