Keap → MySQL
AI-first ETL from Keap into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Keap into MySQL
Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows 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
Keap: SMB CRM with pipeline automation, email, and appointment flows.
MySQL: Widely used OSS relational engine (InnoDB).
How Keap entities map to MySQL
| Keap entity | MySQL object | Notes |
|---|---|---|
| SMB contacts | keap_smb_contacts | id PK · custom fields → JSON columns |
| opportunities | keap_opportunities | id PK · linked to keap_smb_contacts |
| automations | keap_automations | id PK · linked to keap_smb_contacts |
| appointment workflows | keap_appointment_workflows | id PK · linked to keap_smb_contacts |
FAQ
How does Datrise handle Keap'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 Keap to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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