DatriseAI-first ETL

Gong to Neon Integration

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

How Datrise loads Gong into Neon

Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Gong: Revenue intelligence from recorded sales calls.

Neon: Serverless Postgres destination with branching and autoscaling.

How Gong entities map to Neon

Gong entityNeon objectNotes
callsgong_callsid PK · custom fields → jsonb 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 Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Gong to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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