DatriseAI-first ETL

Contentful to Azure Synapse Integration

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

How Datrise loads Contentful into Azure Synapse

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events 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

Contentful: Headless CMS for structured content delivery.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Contentful entities map to Azure Synapse

Contentful entityAzure Synapse objectNotes
entriescontentful_entriesid PK · custom fields → NVARCHAR(MAX) JSON columns
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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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