suky helps product and engineering teams define, govern, and validate analytics events across their entire stack — without ever touching raw event data. All quality metrics are computed directly in your Snowflake warehouse via read-only SQL.
Quick start
- Create an account and set up your workspace.
- Run through the onboarding wizard to describe your product.
- Let suky AI generate a baseline event schema from your description, or import an existing one (CSV / JSON).
- Connect Snowflake (read-only) so suky can discover events and compute quality metrics in your warehouse.
- Invite your team and start collaborating.
Core concepts
- Event Contract — The single source of truth for every analytics event your product fires: name, typed property schema, owner, lifecycle state, and SLA expectations.
- Event — A named action (e.g.
Signup Completed) with a typed property schema. - Change Request — A changeset that batches event additions, modifications, or deprecations for review.
- Workspace — A scoped environment (e.g. production, staging) containing a single event schema, Snowflake connection, and integration settings.
How suky handles data
suky never ingests, receives, or stores raw event payloads. It connects read-only to your Snowflake warehouse, runs SQL against your event tables, and stores only computed results (counts, rates, violation records). No PII ever leaves your infrastructure.