Oracle + BigQuery
Oracle Database is a widely used database for large enterprises to store, manage, and analyze data. BigQuery, on the other hand, is a serverless Big Data solution developed by Google that provides robust capabilities for large-scale data storage and analytics.
With Erathos, you can integrate Oracle data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your data warehouse. That frees your team to focus on what truly drives value — extracting actionable insights and making more data-driven decisions.
What Oracle data does Erathos sync to BigQuery?
The integration automatically syncs Oracle’s core objects:
Selected tables — incremental replication of any configured table
Schema drift — newly detected columns 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 Oracle with BigQuery?
Keeping an analytical copy of Oracle operational data in BigQuery ensures heavy queries don’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 Oracle through 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, 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 Oracle?
Oracle connector ready to use
Replicate Oracle tables to BigQuery with incremental sync and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your Oracle 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
No more discovering Oracle issues only after the business team complains. Every execution is logged with runtime, rows processed, and error context. Automated alerts via Slack, Discord, or email as soon as something goes off script — keeping replication always up to date without putting the transactional database at risk.
Why companies move data from Oracle to BigQuery with Erathos
Consolidating Oracle data into BigQuery has never been easier
Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the Oracle 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 Oracle to their data warehouse—with full observability into every pipeline run, zero maintenance, and none of the black-box opacity of traditional market tools.
How does Erathos synchronize data from Oracle to BigQuery?
Erathos uses incremental replication to sync tables from Oracle to BigQuery. Schema drift is detected automatically—if a column is added or changed in Oracle, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from Oracle to BigQuery?
You can configure synchronization frequency at the table level, from every 5 minutes up to once a day. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Oracle pipeline efficient and BigQuery costs predictable.
What happens if an Oracle 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 Oracle connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Oracle to BigQuery and start syncing immediately—no credit card required.