DatriseAI-first ETL

Insightly MySQL

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

How Datrise loads Insightly into MySQL

Datrise syncs Insightly's contacts, organizations, opportunities, projects, and delivery milestones 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

Insightly: CRM and lightweight project delivery.

MySQL: Widely used OSS relational engine (InnoDB).

How Insightly entities map to MySQL

Insightly entityMySQL objectNotes
contactsinsightly_contactsid PK · custom fields → JSON columns
organizationsinsightly_organizationsid PK · linked to insightly_contacts
opportunitiesinsightly_opportunitiesid PK · linked to insightly_contacts
projectsinsightly_projectsid PK · linked to insightly_contacts

FAQ

How does Datrise handle Insightly'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 Insightly 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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