DatriseAI-first ETL

Manatal Azure Synapse

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

How Datrise loads Manatal into Azure Synapse

Datrise syncs Manatal's contacts, accounts, deals, activities, and lifecycle 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

Manatal: Recruiting CRM/ATS for candidates, pipelines, and placements.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Manatal entities map to Azure Synapse

Manatal entityAzure Synapse objectNotes
contactsmanatal_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsmanatal_accountsid PK · linked to manatal_contacts
dealsmanatal_dealsid PK · linked to manatal_contacts
activitiesmanatal_activitiesdatetime2 events

FAQ

How does Datrise handle Manatal'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 Manatal 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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