DatriseAI-first ETL

Localytics to Azure Synapse Integration

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

How Datrise loads Localytics into Azure Synapse

Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles 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

Localytics: Mobile app analytics and push engagement.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Localytics entities map to Azure Synapse

Localytics entityAzure Synapse objectNotes
sessionslocalytics_sessionsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventslocalytics_eventsdatetime2 events
userslocalytics_usersid PK · linked to localytics_sessions
campaignslocalytics_campaignsid PK · linked to localytics_sessions

FAQ

How does Datrise handle Localytics'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 Localytics 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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