MongoDB + BigQuery
MongoDB is an open-source, document-oriented NoSQL database management system. BigQuery, in turn, is a serverless big data solution developed by Google that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate MongoDB data into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to blend that data with other sources in your Data Warehouse. That way, your time goes toward what truly creates value — unlocking valuable insights and making more data-driven decisions.
Which MongoDB data does Erathos sync with BigQuery?
The integration automatically syncs MongoDB's core objects:
Selected collections — incremental replication of any configured collection
Schema drift — newly detected columns are automatically added to the destination
Primary keys and timestamps — used for efficient incremental synchronization
Historical data — full initial load followed by incremental updates
Why sync MongoDB with BigQuery?
Keeping an analytical copy of MongoDB operational data in BigQuery ensures that 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 MongoDB via the official API and syncs your data incrementally — only new or updated records are processed in 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 target dataset. Every run is logged with full observability: runtime, 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 MongoDB?
MongoDB connector ready to use
Replicate MongoDB tables to BigQuery with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your MongoDB 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 about MongoDB failures only when the business team complains. Every run is logged with execution time, rows processed, and error context. Get automatic alerts in Slack, Discord, or email the moment anything goes off track — keeping replication up to date without impacting the transactional database.
Why companies move their data from MongoDB to BigQuery with Erathos
Centralizing MongoDB 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 MongoDB connector, you can incrementally sync transactional tables and 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 MongoDB to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
How does Erathos synchronize data from MongoDB to BigQuery?
Erathos uses incremental replication to synchronize MongoDB tables to BigQuery. Schema drift is automatically detected—if a column is added or changed in MongoDB, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from MongoDB to BigQuery?
You can configure the synchronization frequency from every 5 minutes to once a day, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the MongoDB pipeline efficient and BigQuery costs predictable.
What happens if a MongoDB 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 MongoDB connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect MongoDB to BigQuery and start syncing immediately—no credit card required.