Azure Table Storage to Microsoft SQL Server Integration
AI-first ETL from Azure Table Storage into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into Microsoft SQL Server
Datrise syncs Azure Table Storage's tables, entities, partition keys, row keys, properties, and timestamps into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Azure Table Storage: Key-value NoSQL store on Azure.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Azure Table Storage entities map to Microsoft SQL Server
| Azure Table Storage entity | Microsoft SQL Server object | Notes |
|---|---|---|
| tables | azure_table_storage_tables | id PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Azure Table Storage to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Azure Table Storage
- Azure Table Storage → Oracle Database
- Azure Table Storage → Snowflake
- 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
More sources for Microsoft SQL Server
- Azure Blob Storage → Microsoft SQL Server
- Babelforce → Microsoft SQL Server
- BigCommerce → Microsoft SQL Server
- Google BigQuery → Microsoft SQL Server
- Branch → Microsoft SQL Server
- Braze → Microsoft SQL Server
- Bronto → Microsoft SQL Server
- CallRail → Microsoft SQL Server
- Campaign Monitor → Microsoft SQL Server
- Cart → Microsoft SQL Server
- ChartMogul → Microsoft SQL Server
- CircleCI → Microsoft SQL Server
Early access
Connect Azure Table Storage to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.