DatriseAI-first ETL

Airtable to Azure Synapse Integration

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

How Datrise loads Airtable into Azure Synapse

Datrise syncs Airtable's bases, tables, records, fields, views, and linked records 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

Airtable: Spreadsheet-database hybrid for structured team data.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Airtable entities map to Azure Synapse

Airtable entityAzure Synapse objectNotes
basesairtable_basesid PK · custom fields → NVARCHAR(MAX) JSON columns
tablesairtable_tablesid PK · linked to airtable_bases
recordsairtable_recordsid PK · linked to airtable_bases
fieldsairtable_fieldsid PK · linked to airtable_bases

FAQ

How does Datrise handle Airtable'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 Airtable 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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