DatriseAI-first ETL

Gong to PlanetScale Integration

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

How Datrise loads Gong into PlanetScale

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Gong: Revenue intelligence from recorded sales calls.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Gong entities map to PlanetScale

Gong entityPlanetScale objectNotes
callsgong_callsid PK · custom fields → 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 PlanetScale?

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

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

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

Related pipelines

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