DatriseAI-first ETL

Totango to Azure Synapse Integration

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

How Datrise loads Totango into Azure Synapse

Datrise syncs Totango's accounts, users, success plays, health scores, journey stages, and tasks 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

Totango: Customer journey orchestration for retention teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Totango entities map to Azure Synapse

Totango entityAzure Synapse objectNotes
accountstotango_accountsid PK · custom fields → NVARCHAR(MAX) JSON columns
userstotango_usersid PK · linked to totango_accounts
success playstotango_success_playsid PK · linked to totango_accounts
health scorestotango_health_scoresid PK · linked to totango_accounts

FAQ

How does Datrise handle Totango'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 Totango 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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