SQL Server + Redshift
SQL Server is a relational database management system developed by Microsoft, used to store and manage large volumes of data. Amazon Redshift, in turn, is a cloud data warehouse designed for fast, efficient analytics on large datasets
With Erathos, you can integrate data from SQL Server into Redshift in just a few minutes. Our platform handles the entire data movement process for your analytics environment and lets you combine this data with other sources in your Data Warehouse. That way, your time goes where it really creates value — uncovering valuable insights and making more data-driven decisions.
Which SQL Server data does Erathos sync with Redshift?
The integration automatically syncs the main SQL Server objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns detected and automatically added at the destination
Primary keys and timestamps — used for efficient incremental sync
Historical data — full initial load followed by incremental updates
Why sync SQL Server with Redshift?
Keeping an analytical copy of your operational SQL Server data in Redshift lets heavy queries run without affecting production application performance. With incremental replication and schema drift detection, your data warehouse stays up to date while the transactional database remains stable and responsive.
How it works
Erathos connects to SQL Server via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Redshift costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: execution time, processed rows, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for SQL Server?
Ready-to-use SQL Server connector
Replicate tables from SQL Server to Redshift with incremental synchronization and automatic schema drift detection—without breaking pipelines when the schema changes.
Total control over your SQL Server pipelines
Set sync frequency and type per table. Incremental synchronization for Redshift — only new records processed in each run, without reprocessing everything from scratch.
End-to-end observability
Stop finding out SQL Server failed only after the business team complains. Every run is logged with runtime, processed row counts, and error context. Automatic alerts via Slack, Discord, or email as soon as anything deviates from expected behavior — keeping replication up to date without impacting the transactional database.
Why Companies Are Moving Data from SQL Server to Redshift with Erathos
Centralizing SQL Server data in Redshift has never been easier.
Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the SQL Server connector, you can incrementally sync tables and transactional records to Redshift—with schema drift detection and complete logs for every run.
Our Customers
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Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like SQL Server to their data warehouse—with full observability into every run, zero maintenance, and none of the black-box opacity of traditional market tools.
How does Erathos synchronize data from SQL Server to Redshift?
Erathos uses incremental replication to synchronize SQL Server tables with Redshift. Schema drift is automatically detected—if a column is added or modified in SQL Server, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from SQL Server to Redshift?
You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the SQL Server pipeline efficient and Redshift costs predictable.
What happens if a SQL Server synchronization fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the SQL Server connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect SQL Server to Redshift and start syncing immediately—no credit card required.