Timeline
Snowflake Native App
See what is running, waiting and changing on your Snowflake warehouses, and understand why. Start with the incident, end with the exact query.
What it does
Near-real-time timeline
Every warehouse on one time axis: running, queued, failed and slow work, with query arrivals and concurrency.
Overload signals
Queue share, peak queries per second, spill and slow-query signals, and whether a warehouse is busy or saturated.
Query regressions
Recurring SQL grouped by query hash and compared run over run, so you see which pattern changed and when.
dbt context
Project, model, invocation and environment attached to the same query evidence, when your dbt metadata carries them.
Operator forensics
Queue, compile and execution time separated, then operator-level evidence: scans, pruning, spill, and the step that dominated.
Experimental
Cortex AI profiler
Uses Snowflake Cortex to explain the execution evidence already collected.
How it runs
- Inside your Snowflake account, as a Native App on Snowflake infrastructure.
- Each user sees what their own Snowflake privileges allow.
- No separate telemetry pipeline, and no dependency on ACCOUNT_USAGE for the live timeline.
- The compute it uses is billed by Snowflake, under your own pricing.
Licensing
- One subscription per Snowflake account.
- Every feature and unlimited users. No per-seat or per-query pricing.
- Priced against your warehouse footprint and billed monthly.
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