DatriseAI-first ETL

Gong to MySQL Integration

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

How Datrise loads Gong into MySQL

Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Gong: Revenue intelligence from recorded sales calls.

MySQL: Widely used OSS relational engine (InnoDB).

How Gong entities map to MySQL

Gong entityMySQL 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 MySQL?

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 MySQL types.

How does the Gong to MySQL 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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