Customer.io to Azure Synapse Integration
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 people, segments, campaigns, message events, attributes, and broadcasts 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: Behavioral messaging across email, push, and SMS.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Customer.io entities map to Azure Synapse
| Customer.io entity | Azure Synapse object | Notes |
|---|---|---|
| people | customerio_people | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| segments | customerio_segments | id PK · linked to customerio_people |
| campaigns | customerio_campaigns | id PK · linked to customerio_people |
| message events | customerio_message_events | datetime2 events |
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
More destinations for Customer.io
More sources for Azure Synapse
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