CSV File to Metabase Integration

How Datrise loads CSV File into Metabase

Datrise syncs CSV File's rows, columns, headers, delimiters, file batches, and encodings 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

CSV File: Delimited flat files from exports and drops.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How CSV File entities map to Metabase

CSV File entity	Metabase object	Notes
rows	`csv_file_rows`	id PK · custom fields → flattened columns for the question builder
columns	`csv_file_columns`	id PK · linked to csv_file_rows
headers	`csv_file_headers`	id PK · linked to csv_file_rows
delimiters	`csv_file_delimiters`	id PK · linked to csv_file_rows

FAQ

How does Datrise handle CSV File'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 CSV File to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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