MongoDB + Databricks
MongoDB is an open-source, document-oriented NoSQL database management system. Databricks, in turn, is a serverless big data platform that delivers robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate MongoDB data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to join that data with other sources in your data warehouse. That way, your time is spent on what really drives value — extracting actionable insights and making more data-driven decisions.
Which MongoDB data does Erathos sync with Databricks?
The integration automatically syncs MongoDB’s main objects:
Selected tables — incremental replication of any configured table
Schema drift — newly detected columns are 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 MongoDB with Databricks?
Keeping an analytical copy of MongoDB’s operational data in Databricks 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 MongoDB via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target 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 MongoDB?
MongoDB connector ready to use
Replicate MongoDB tables to Databricks with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your MongoDB pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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 are moving data from MongoDB to Databricks with Erathos
Centralizing MongoDB data in Databricks 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 Databricks—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 sync data from MongoDB to Databricks?
Erathos uses incremental replication to sync tables from MongoDB to Databricks. Schema drift is automatically detected—if a column is added or modified in MongoDB, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from MongoDB to Databricks?
You can configure synchronization frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping your MongoDB pipeline efficient and Databricks 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 Databricks and start syncing immediately—no credit card required.