Apollo → MySQL
AI-first ETL from Apollo into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into MySQL
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity 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
Apollo: Sales intelligence and engagement platform with account-level activity.
MySQL: Widely used OSS relational engine (InnoDB).
How Apollo entities map to MySQL
| Apollo entity | MySQL object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → JSON columns |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | DATETIME/TIMESTAMP events |
FAQ
How does Datrise handle Apollo'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 Apollo 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
More destinations for Apollo
Early access
Connect Apollo to MySQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.