Customer.io → MySQL
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 profiles, segments, campaigns, deliveries, and conversion events 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: Messaging automation based on product and behavioral data.
MySQL: Widely used OSS relational engine (InnoDB).
How Customer.io entities map to MySQL
| Customer.io entity | MySQL object | Notes |
|---|---|---|
| profiles | customer_io_profiles | id PK · custom fields → JSON columns |
| segments | customer_io_segments | id PK · linked to customer_io_profiles |
| campaigns | customer_io_campaigns | id PK · linked to customer_io_profiles |
| deliveries | customer_io_deliveries | id PK · linked to customer_io_profiles |
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
More destinations for Customer.io
- Customer.io → Microsoft SQL Server
- Customer.io → Oracle Database
- Customer.io → Snowflake
- Customer.io → Google BigQuery
- Customer.io → Amazon Redshift
- Customer.io → Databricks SQL Warehouse
- Customer.io → ClickHouse
- Customer.io → DuckDB
- Customer.io → Amazon Athena
- Customer.io → Amazon S3 Data Lake
- Customer.io → Azure Data Lake Storage
- Customer.io → Azure Synapse
Early access
Connect Customer.io to MySQL the easy way
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