DatriseAI-first ETL

Import API to MySQL Integration

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

How Datrise loads Import API into MySQL

Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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

Import API: Direct API push of custom records into a pipeline.

MySQL: Widely used OSS relational engine (InnoDB).

How Import API entities map to MySQL

Import API entityMySQL objectNotes
recordsimport_api_recordsid PK · custom fields → JSON columns
payloadsimport_api_payloadsid PK · linked to import_api_records
batchesimport_api_batchesid PK · linked to import_api_records
schemasimport_api_schemasid PK · linked to import_api_records

FAQ

How does Datrise handle Import API'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 Import API 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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