Vitally to Azure Synapse Integration

How Datrise loads Vitally into Azure Synapse

Datrise syncs Vitally's accounts, users, health scores, tasks, playbooks, and product usage 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

Vitally: Customer success health and account analytics.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Vitally entities map to Azure Synapse

Vitally entity	Azure Synapse object	Notes
accounts	`vitally_accounts`	id PK · custom fields → NVARCHAR(MAX) JSON columns
users	`vitally_users`	id PK · linked to vitally_accounts
health scores	`vitally_health_scores`	id PK · linked to vitally_accounts
tasks	`vitally_tasks`	id PK · linked to vitally_accounts

FAQ

How does Datrise handle Vitally'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 Vitally 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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