DatriseAI-first ETL

Gong to Azure Synapse Integration

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

How Datrise loads Gong into Azure Synapse

Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics 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

Gong: Revenue intelligence from recorded sales calls.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Gong entities map to Azure Synapse

Gong entityAzure Synapse objectNotes
callsgong_callsid PK · custom fields → NVARCHAR(MAX) JSON columns
transcriptsgong_transcriptsid PK · linked to gong_calls
dealsgong_dealsid PK · linked to gong_calls
usersgong_usersid PK · linked to gong_calls

FAQ

How does Datrise handle Gong'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 Gong 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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