DatriseAI-first ETL

Azure Table Storage to MySQL Integration

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

How Datrise loads Azure Table Storage into MySQL

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps 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

Azure Table Storage: Key-value NoSQL store on Azure.

MySQL: Widely used OSS relational engine (InnoDB).

How Azure Table Storage entities map to MySQL

Azure Table Storage entityMySQL objectNotes
tablesazure_table_storage_tablesid PK · custom fields → JSON columns
entitiesazure_table_storage_entitiesid PK · linked to azure_table_storage_tables
partition keysazure_table_storage_partition_keysid PK · linked to azure_table_storage_tables
row keysazure_table_storage_row_keysid PK · linked to azure_table_storage_tables

FAQ

How does Datrise handle Azure Table Storage'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 Azure Table Storage 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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