Mixpanel → Redash
AI-first ETL from Mixpanel into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mixpanel into Redash
Datrise syncs Mixpanel's events, user profiles, cohorts, funnels, and retention metrics into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Mixpanel: Product analytics for events, funnels, and retention.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Mixpanel entities map to Redash
| Mixpanel entity | Redash object | Notes |
|---|---|---|
| events | mixpanel_events | temporal columns events |
| user profiles | mixpanel_user_profiles | id PK · linked to mixpanel_events |
| cohorts | mixpanel_cohorts | id PK · linked to mixpanel_events |
| funnels | mixpanel_funnels | id PK · linked to mixpanel_events |
FAQ
How does Datrise handle Mixpanel's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Mixpanel to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Mixpanel
Early access
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