DatriseAI-first ETL

Azure Table Storage to Metabase Integration

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

How Datrise loads Azure Table Storage into Metabase

Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

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

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Azure Table Storage entities map to Metabase

Azure Table Storage entityMetabase objectNotes
tablesazure_table_storage_tablesid PK · custom fields → flattened columns for the question builder
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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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