Import API to Metabase Integration
AI-first ETL from Import API into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Import API into Metabase
Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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
Import API: Direct API push of custom records into a pipeline.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Import API entities map to Metabase
| Import API entity | Metabase object | Notes |
|---|---|---|
| records | import_api_records | id PK · custom fields → flattened columns for the question builder |
| payloads | import_api_payloads | id PK · linked to import_api_records |
| batches | import_api_batches | id PK · linked to import_api_records |
| schemas | import_api_schemas | id PK · linked to import_api_records |
FAQ
How does Datrise handle Import API'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 Import API to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Import API
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