DatriseAI-first ETL

folk to Azure Synapse Integration

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

How Datrise loads folk into Azure Synapse

Datrise syncs folk's contacts, groups, deals, custom fields, interactions, and reminders 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

folk: Lightweight relationship CRM built on shared contact groups.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How folk entities map to Azure Synapse

folk entityAzure Synapse objectNotes
contactsfolk_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
groupsfolk_groupsid PK · linked to folk_contacts
dealsfolk_dealsid PK · linked to folk_contacts
custom fieldsfolk_custom_fieldsid PK · linked to folk_contacts

FAQ

How does Datrise handle folk'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 folk 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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