DatriseAI-first ETL

Azure Table Storage to PostgreSQL Integration

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

How Datrise loads Azure Table Storage into PostgreSQL

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Azure Table Storage entities map to PostgreSQL

Azure Table Storage entityPostgreSQL objectNotes
tablesazure_table_storage_tablesid PK · custom fields → jsonb 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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Azure Table Storage to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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