Mssql SQL Server → Amazon Redshift
AI-first ETL from Mssql SQL Server into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mssql SQL Server into Amazon Redshift
Datrise syncs Mssql SQL Server'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
Mssql SQL Server: SaaS or API data source for analytics and warehouse sync.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Mssql SQL Server entities map to Amazon Redshift
| Mssql SQL Server entity | Amazon Redshift object | Notes |
|---|---|---|
| records | mssql_sql_server_records | id PK · custom fields → SUPER columns |
| events | mssql_sql_server_events | TIMESTAMPTZ events |
| configuration objects | mssql_sql_server_configuration_objects | id PK · linked to mssql_sql_server_records |
FAQ
How does Datrise handle Mssql 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 Mssql 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 Mssql SQL Server
- Mssql SQL Server → Databricks SQL Warehouse
- Mssql SQL Server → ClickHouse
- Mssql SQL Server → DuckDB
- Mssql SQL Server → Amazon Athena
- Mssql SQL Server → Amazon S3 Data Lake
- Mssql SQL Server → Azure Data Lake Storage
- Mssql SQL Server → Azure Synapse
- Mssql SQL Server → Spreadsheets
- Mssql SQL Server → Airtable
- Mssql SQL Server → CSV Files
- Mssql SQL Server → MongoDB
- Mssql SQL Server → Supabase
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Early access
Connect Mssql SQL Server to Amazon Redshift the easy way
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