Oracle + Databricks
Oracle Database is one of the most robust and widely used databases globally for storing, managing, and processing large volumes of business data. Databricks stands out as a serverless Big Data platform, designed for advanced analytics and large-scale machine learning.
With Erathos, Oracle integration with Databricks becomes simple and efficient, eliminating manual processes and ensuring continuous synchronization of your data. Our platform lets you automate Oracle integration with Databricks, consolidating information from different sources into your Data Warehouse. That way, your team can focus on what really matters: extracting valuable insights and making strategic decisions based on reliable data.
What Oracle data does Erathos sync with Databricks?
The integration automatically syncs the main Oracle objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns detected and added automatically 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 Databricks?
Keeping an analytical copy of Oracle operational data in Databricks allows heavy queries to avoid impacting application performance in production. 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 via the official API and syncs your data incrementally — only new or updated records are processed in 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 destination dataset. Each run is logged with full observability: execution time, processed rows, contextual errors, 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 Databricks with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Total control over your Oracle 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
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 migrate data from Oracle to Databricks with Erathos
Centralizing Oracle 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 Oracle connector, you can incrementally sync transactional tables and records to Databricks—with schema drift detection and complete logs for every run.
Our Customers
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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 Databricks?
Erathos uses incremental replication to synchronize Oracle tables with Databricks. 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 Databricks?
You can configure the sync frequency from every 5 minutes up to daily at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the Oracle pipeline efficient and Databricks 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 Databricks and start syncing right away—no credit card required.