DatriseAI-first ETL

Customer.io Azure Synapse

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

How Datrise loads Customer.io into Azure Synapse

Datrise syncs Customer.io's profiles, segments, campaigns, deliveries, and conversion 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

Customer.io: Messaging automation based on product and behavioral data.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Customer.io entities map to Azure Synapse

Customer.io entityAzure Synapse objectNotes
profilescustomer_io_profilesid PK · custom fields → NVARCHAR(MAX) JSON columns
segmentscustomer_io_segmentsid PK · linked to customer_io_profiles
campaignscustomer_io_campaignsid PK · linked to customer_io_profiles
deliveriescustomer_io_deliveriesid PK · linked to customer_io_profiles

FAQ

How does Datrise handle Customer.io'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 Customer.io to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

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