DatriseAI-first ETL

Quick Base to Azure Synapse Integration

AI-first ETL from Quick Base into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Quick Base into Azure Synapse

Datrise syncs Quick Base's apps, tables, records, fields, reports, and relationships into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Quick Base entities map to Azure Synapse

Quick Base entityAzure Synapse objectNotes
appsquick_base_appsid PK · custom fields → NVARCHAR(MAX) JSON columns
tablesquick_base_tablesid PK · linked to quick_base_apps
recordsquick_base_recordsid PK · linked to quick_base_apps
fieldsquick_base_fieldsid PK · linked to quick_base_apps

FAQ

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

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Quick Base to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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