Quick Base to Mode Integration
AI-first ETL from Quick Base into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Quick Base into Mode
Datrise syncs Quick Base's apps, tables, records, fields, reports, and relationships into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Quick Base: Low-code application tables and business workflows.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Quick Base entities map to Mode
| Quick Base entity | Mode object | Notes |
|---|---|---|
| apps | quick_base_apps | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Quick Base to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Quick Base
Early access
Connect Quick Base to Mode the easy way
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