DatriseAI-first ETL

Close Io MySQL

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

How Datrise loads Close Io into MySQL

Datrise syncs Close Io's records, events, and configuration objects 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

Close Io: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Close Io entities map to MySQL

Close Io entityMySQL objectNotes
recordsclose_io_recordsid PK · custom fields → JSON columns
eventsclose_io_eventsDATETIME/TIMESTAMP events
configuration objectsclose_io_configuration_objectsid PK · linked to close_io_records

FAQ

How does Datrise handle Close 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 Close 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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