Azure Table Storage to Snowflake Integration
AI-first ETL from Azure Table Storage into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into Snowflake
Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
Azure Table Storage: Key-value NoSQL store on Azure.
Snowflake: Cloud data warehouse with separated compute and storage.
How Azure Table Storage entities map to Snowflake
| Azure Table Storage entity | Snowflake object | Notes |
|---|---|---|
| tables | azure_table_storage_tables | id PK · custom fields → VARIANT columns |
| entities | azure_table_storage_entities | id PK · linked to azure_table_storage_tables |
| partition keys | azure_table_storage_partition_keys | id PK · linked to azure_table_storage_tables |
| row keys | azure_table_storage_row_keys | id PK · linked to azure_table_storage_tables |
FAQ
How does Datrise handle Azure Table Storage's custom fields in Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the Azure Table Storage to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for Azure Table Storage
- Azure Table Storage → Google BigQuery
- Azure Table Storage → Amazon Redshift
- Azure Table Storage → Databricks SQL Warehouse
- Azure Table Storage → ClickHouse
- Azure Table Storage → DuckDB
- Azure Table Storage → Amazon Athena
- Azure Table Storage → Amazon S3 Data Lake
- Azure Table Storage → Azure Data Lake Storage
- Azure Table Storage → Azure Synapse
- Azure Table Storage → Spreadsheets
- Azure Table Storage → Airtable
- Azure Table Storage → CSV Files
Early access
Connect Azure Table Storage to Snowflake the easy way
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