DatriseAI-first ETL

Customer.io to MySQL Integration

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

How Datrise loads Customer.io into MySQL

Datrise syncs Customer.io's people, segments, campaigns, message events, attributes, and broadcasts 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

Customer.io: Behavioral messaging across email, push, and SMS.

MySQL: Widely used OSS relational engine (InnoDB).

How Customer.io entities map to MySQL

Customer.io entityMySQL objectNotes
peoplecustomerio_peopleid PK · custom fields → JSON columns
segmentscustomerio_segmentsid PK · linked to customerio_people
campaignscustomerio_campaignsid PK · linked to customerio_people
message eventscustomerio_message_eventsDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Customer.io'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 Customer.io 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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