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.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
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.
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.
Data in your data warehouse in minutes
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.
Learn moreTotal 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.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for SQL Server
Other sources that land in BigQuery
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
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.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect SQL Server to BigQuery and start syncing immediately—no credit card required.