# Oracle + Databricks

> Automatically sync Oracle tables and objects to Databricks. A reliable pipeline with alerts, drift detection, and zero maintenance. Try it free for 14 days.

Source: https://www.erathos.com/en/pipelines/oracle-databricks
Em português: https://www.erathos.com/pipelines/oracle-databricks

Oracle Database is a relational database widely used by enterprises to store, manage, and analyze data. On the other hand, Amazon Redshift is a cloud data warehouse designed for fast and efficient analytics on large volumes of data.

With Erathos, your Oracle data lands in Databricks ready to power Machine Learning models and advanced analytics pipelines, all within the same environment where your team already processes other data sources.

### Which Oracle data does Erathos sync to Redshift?

The integration automatically syncs key Oracle objects:

- **Selected tables:** incremental replication of any configured table.
- **Schema drift:** newly detected columns are automatically added to the destination.
- **Primary keys and timestamps:** used for efficient incremental syncs.
- **Historical data:** full initial load followed by incremental updates.

### Why sync Oracle to Databricks?

In Databricks, your Oracle data is ready for Machine Learning models, advanced analytics, and ad hoc queries, right inside the environment where your team already builds data pipelines.

### How it works

Erathos connects to Oracle via official APIs 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. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

## Data in your data warehouse in minutes

### 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.

## 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.

## 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.