SQL Server + BigQuery
SQL Server is a relational database management system developed by Microsoft, used to store and manage large volumes of data. BigQuery, in turn, is a serverless big data solution developed by Google that provides robust storage and large-scale data analytics capabilities.
With Erathos, you can integrate data from SQL Server into BigQuery in just a few minutes. Our platform handles the entire data movement process to your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your time goes toward what actually creates value — unlocking insights and making more data-driven decisions.
What SQL Server data does Erathos sync with BigQuery?
The integration automatically syncs the main SQL Server objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns are detected and automatically added to 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 BigQuery?
Keeping an analytical copy of your SQL Server operational data in BigQuery means heavy queries won't impact 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 BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is fully observable: execution time, rows processed, 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 SQL Server tables to BigQuery with incremental sync and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your SQL Server pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
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 Move Data from SQL Server to BigQuery with Erathos
Centralizing SQL Server data in BigQuery 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 BigQuery—with schema drift detection and complete logs for every run.
Our Customers
Trusted by data-driven companies
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 BigQuery?
Erathos uses incremental replication to sync SQL Server tables to BigQuery. Schema drift is automatically detected—if a column is added or changed in SQL Server, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from SQL Server to BigQuery?
You can configure synchronization frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the SQL Server pipeline efficient and BigQuery 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 BigQuery and start syncing immediately—no credit card required.