- 1 connector
- Up to 1M rows scanned / month
- 1 user
- Community support
SQL underneath, a view layer on top, and a query language anyone on your team can read. For teams who outgrew the spreadsheet but don't want a data warehouse yet.
view q4_revenue_by_region { from orders where closed_at is between '2025-10-01' and '2025-12-31' group by customer.region sum total_usd as revenue }
Most tools throw your data into one big pool and dare your team to swim. Strata stacks it on purpose — connectors at the bottom, tables on top of that, named models on top of those, views your team can actually read up top.
Strata-QL reads like plain English, compiles down to SQL, and prints exactly what it ran on every result.
view top_customers { from orders where closed_at is in the last 90 days group by customer.name sum total_usd as ltv_90d order by ltv_90d desc }
Read directly from Postgres, MySQL, Snowflake, BigQuery, S3, GCS, CSV, and a handful of SaaS APIs.
Define once at the model layer. Permission rules ride with the data, not the dashboard.
Every model and view is git-style versioned. Revert in one click. Open a PR for review.
Embed a query result into Notion, Confluence, or a customer dashboard with one signed URL.
Built the data platform at Lattice. Believes the future is fewer dashboards.
Distributed systems engineer; previously infra at Stripe and PlanetScale.
Designed the analytics stack at Linear. Cares deeply about the empty state.
“Strata gave us the view layer we'd been faking with spreadsheets for three years. Two engineers replaced 60 ad-hoc CSVs in a week.”— H. Park · Head of Ops · Crescent
Connect one source, ship one view, share one link. If you don't have a real query running in 60 seconds, we'll throw in a year of the Team plan free.
works with postgres, mysql, snowflake, bigquery, s3 …