Quick Base to DuckDB Integration

How Datrise loads Quick Base into DuckDB

Datrise syncs Quick Base's apps, tables, records, fields, reports, and relationships into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Quick Base: Low-code application tables and business workflows.

DuckDB: In-process analytics database for fast local OLAP.

How Quick Base entities map to DuckDB

Quick Base entity	DuckDB object	Notes
apps	`quick_base_apps`	id PK · custom fields → JSON or STRUCT columns
tables	`quick_base_tables`	id PK · linked to quick_base_apps
records	`quick_base_records`	id PK · linked to quick_base_apps
fields	`quick_base_fields`	id PK · linked to quick_base_apps

FAQ

How does Datrise handle Quick Base's custom fields in DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

How does the Quick Base to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Quick Base to DuckDB the easy way

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