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The Analytics page gives you a bird’s-eye view of your entire data platform — how many pipelines are running, how many succeeded or failed today, and how that has changed over time. Access it from the main navigation under Analytics.

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Time ranges

All metrics on the Analytics page are filterable by time range:

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Summary cards

At the top of the page, four cards give you the current state at a glance:

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Trend chart

The trend chart shows jobs completed per day over the selected period. Use this to spot:
  • Unusual spikes (more jobs than normal — was a batch load triggered?)
  • Gaps (were there days with no successful runs?)
  • Growing or shrinking data volume

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Status distribution

A donut chart shows the breakdown by status for the selected period:
  • Completed (green)
  • Failed (red)
  • Cancelled (grey)
A high failure rate signals systematic problems — credentials expired, source unreachable, schema drift.

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Per-job breakdown

Below the aggregate charts, a table lists each job with its run count, success rate, average duration, and last run status for the selected period. Sort by failure rate to find the most problematic pipelines.

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Using analytics for on-call

A common workflow is to check Analytics first thing in the morning:
  1. Any red cards? → Check failed jobs, see which tables failed, check Events for error details
  2. Trend chart dip? → Were any jobs paused or deleted?
  3. Completed count unusual? → Check if a scheduled job didn’t trigger
Set up a Notification for job_failed events (in-app or email) so you don’t need to check manually. Outbound webhooks are coming soon.
Last modified on July 13, 2026