Microsoft SQL Server to Amazon Redshift Integration
AI-first ETL from Microsoft SQL Server into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SQL Server into Amazon Redshift
Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking 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
Microsoft SQL Server: Microsoft SQL Server transactional databases.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Microsoft SQL Server entities map to Amazon Redshift
| Microsoft SQL Server entity | Amazon Redshift object | Notes |
|---|---|---|
| tables | mssql_sql_server_tables | id PK · custom fields → SUPER columns |
| rows | mssql_sql_server_rows | id PK · linked to mssql_sql_server_tables |
| schemas | mssql_sql_server_schemas | id PK · linked to mssql_sql_server_tables |
| indexes | mssql_sql_server_indexes | id PK · linked to mssql_sql_server_tables |
FAQ
How does Datrise handle Microsoft SQL Server'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 Microsoft SQL Server 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 Microsoft SQL Server
- Microsoft SQL Server → Databricks SQL Warehouse
- Microsoft SQL Server → ClickHouse
- Microsoft SQL Server → DuckDB
- Microsoft SQL Server → Amazon Athena
- Microsoft SQL Server → Amazon S3 Data Lake
- Microsoft SQL Server → Azure Data Lake Storage
- Microsoft SQL Server → Azure Synapse
- Microsoft SQL Server → Spreadsheets
- Microsoft SQL Server → Airtable
- Microsoft SQL Server → CSV Files
- Microsoft SQL Server → MongoDB
- Microsoft SQL Server → Supabase
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Early access
Connect Microsoft SQL Server to Amazon Redshift the easy way
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