DatriseAI-first ETL

Drift to Azure Synapse Integration

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

How Datrise loads Drift into Azure Synapse

Datrise syncs Drift's conversations, contacts, playbooks, meetings, messages, and accounts 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

Drift: Conversational marketing and sales chat.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Drift entities map to Azure Synapse

Drift entityAzure Synapse objectNotes
conversationsdrift_conversationsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsdrift_contactsid PK · linked to drift_conversations
playbooksdrift_playbooksid PK · linked to drift_conversations
meetingsdrift_meetingsid PK · linked to drift_conversations

FAQ

How does Datrise handle Drift'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 Drift 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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