Azure Table Storage → Amazon Redshift
AI-first ETL from Azure Table Storage into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Table Storage into Amazon Redshift
Datrise syncs Azure Table Storage's records, events, and configuration objects into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Azure Table Storage: SaaS or API data source for analytics and warehouse sync.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Azure Table Storage entities map to Amazon Redshift
| Azure Table Storage entity | Amazon Redshift object | Notes |
|---|---|---|
| records | azure_table_storage_records | id PK · custom fields → SUPER columns |
| events | azure_table_storage_events | TIMESTAMPTZ events |
| configuration objects | azure_table_storage_configuration_objects | id PK · linked to azure_table_storage_records |
FAQ
How does Datrise handle Azure Table Storage's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Azure Table Storage to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Azure Table Storage
- 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
- Azure Table Storage → MongoDB
- Azure Table Storage → Supabase
More sources for Amazon Redshift
- Azureblobstorage → Amazon Redshift
- Babelforce → Amazon Redshift
- Bigcommerce → Amazon Redshift
- Bigquery → Amazon Redshift
- Branch → Amazon Redshift
- Braze → Amazon Redshift
- Breezometer → Amazon Redshift
- Bronto → Amazon Redshift
- Callrail → Amazon Redshift
- Campaign Monitor → Amazon Redshift
- Cart → Amazon Redshift
- Chartmogul → Amazon Redshift
Early access
Connect Azure Table Storage to Amazon Redshift 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.