DatriseAI-first ETL

Twilio Azure Synapse

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

How Datrise loads Twilio into Azure Synapse

Datrise syncs Twilio's messages, calls, recordings, lookups, and delivery 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

Twilio: Communications APIs for SMS, voice, and verification.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Twilio entities map to Azure Synapse

Twilio entityAzure Synapse objectNotes
messagestwilio_messagesid PK · custom fields → NVARCHAR(MAX) JSON columns
callstwilio_callsid PK · linked to twilio_messages
recordingstwilio_recordingsid PK · linked to twilio_messages
lookupstwilio_lookupsid PK · linked to twilio_messages

FAQ

How does Datrise handle Twilio'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 Twilio 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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