FullStory → Metabase
AI-first ETL from FullStory into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads FullStory into Metabase
Datrise syncs FullStory's sessions, events, funnels, frustration signals, and user properties into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
FullStory: Digital experience analytics with session replay context.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How FullStory entities map to Metabase
| FullStory entity | Metabase object | Notes |
|---|---|---|
| sessions | fullstory_sessions | id PK · custom fields → flattened columns for the question builder |
| events | fullstory_events | temporal columns for trends events |
| funnels | fullstory_funnels | id PK · linked to fullstory_sessions |
| frustration signals | fullstory_frustration_signals | id PK · linked to fullstory_sessions |
FAQ
How does Datrise handle FullStory's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the FullStory to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for FullStory
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