DatriseAI-first ETL

PostgreSQL to MySQL Integration

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

How Datrise loads PostgreSQL into MySQL

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

MySQL: Widely used OSS relational engine (InnoDB).

How PostgreSQL entities map to MySQL

PostgreSQL entityMySQL objectNotes
tableshp_postgres_tablesid PK · custom fields → JSON columns
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL 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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