DatriseAI-first ETL

Source Dynamodb MySQL

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

How Datrise loads Source Dynamodb into MySQL

Datrise syncs Source Dynamodb'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

Source Dynamodb: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Source Dynamodb entities map to MySQL

Source Dynamodb entityMySQL objectNotes
recordssource_dynamodb_recordsid PK · custom fields → JSON columns
eventssource_dynamodb_eventsDATETIME/TIMESTAMP events
configuration objectssource_dynamodb_configuration_objectsid PK · linked to source_dynamodb_records

FAQ

How does Datrise handle Source Dynamodb'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 Source Dynamodb 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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