DatriseAI-first ETL

Adjust to Azure Synapse Integration

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

How Datrise loads Adjust into Azure Synapse

Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints 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

Adjust: Mobile measurement and attribution platform.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Adjust entities map to Azure Synapse

Adjust entityAzure Synapse objectNotes
installsadjust_installsid PK · custom fields → NVARCHAR(MAX) JSON columns
sessionsadjust_sessionsid PK · linked to adjust_installs
in-app eventsadjust_in_app_eventsdatetime2 events
campaignsadjust_campaignsid PK · linked to adjust_installs

FAQ

How does Datrise handle Adjust'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 Adjust 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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