DatriseAI-first ETL

Klaviyo MySQL

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

How Datrise loads Klaviyo into MySQL

Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue 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

Klaviyo: E-commerce marketing automation with email and SMS.

MySQL: Widely used OSS relational engine (InnoDB).

How Klaviyo entities map to MySQL

Klaviyo entityMySQL objectNotes
profilesklaviyo_profilesid PK · custom fields → JSON columns
segmentsklaviyo_segmentsid PK · linked to klaviyo_profiles
flowsklaviyo_flowsid PK · linked to klaviyo_profiles
campaignsklaviyo_campaignsid PK · linked to klaviyo_profiles

FAQ

How does Datrise handle Klaviyo'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 Klaviyo 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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