Databases · Destination connector
Microsoft SQL Server ELT Connector
Extract delivers approved, modeled business data to Microsoft SQL Server. Teams use it to publish governed analytical and operational models for downstream use and keep those downstream actions current on a flexible schedule.
View setup guide
Use cases
What teams use this connector for
Modeled table delivery
Use Extract to deliver approved analytical and operational models to Microsoft SQL Server.
Reporting data products
Publish tested customer, finance, product, or marketing models in Microsoft SQL Server for downstream reporting.
Operational data sharing
Make approved modeled records available in Microsoft SQL Server for applications and operational workflows.
Model version control
Keep the transformation logic upstream while updating the resulting governed datasets in Microsoft SQL Server.
Governed scheduled delivery
Keep Microsoft SQL Server supplied every 15 minutes, hourly, daily, or on a custom schedule using data models that teams can test and approve.
Connector data
Data accepted by this destination
Destination tables and columns follow the streams and fields selected in the source connection. Table names use the configured schema, prefix, and optional override. There is no fixed destination stream catalog or entity relationship diagram.
Why Extract
Why Extract for Microsoft SQL Server
- Rust-native performanceDeliver approved records to Microsoft SQL Server with Rust-native data movement on a schedule that matches the operational workflow.
- Full run transparencyInspect Microsoft SQL Server delivery execution, timing, and failures in Extract's run-level logs.
- ELT + Reverse ETL in oneBuild governed models from inbound data, then use Extract Reverse ETL to activate the approved records in Microsoft SQL Server.
FAQ
Frequently asked questions
How does Extract handle incremental and full Microsoft SQL Server deliveries?
An incremental delivery processes only new or changed data since a stored checkpoint or new date partition, while a full delivery processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental deliverys can reduce destination database updates and warehouse compute costs. SQL Server loads incoming source streams using Append, Replace, Upsert, History, SoftDelete, Replica, or partition overwrite. Upsert, History, and Replica require selected primary-key fields. Extract records run details so teams can verify each delivery.
Can I backfill historical Microsoft SQL Server data with Extract?
Historical coverage for Microsoft SQL Server: No connector-specific backfill parameter is exposed. Initial historical coverage depends on the stream and provider. Use the setup guide and run details to confirm the available source records and selected settings.
How should teams prepare data for Microsoft SQL Server?
Prepare and validate the modeled records before delivery, including any eligibility, consent, or suppression rules required by the workflow. Then use the Microsoft SQL Server setup guide and Extract's run-level logs to validate each delivery.
How often can Extract deliver data to Microsoft SQL Server?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the Microsoft SQL Server data model look like in the destination?
Microsoft SQL Server receives the approved modeled records selected in the connection. The destination shape follows that validated model; use the setup guide to confirm any connector-specific field requirements.