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.
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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
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.
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.
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.
Learn moreTotal 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.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Oracle
Other sources that land in Databricks
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
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.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect Oracle to Databricks and start syncing right away—no credit card required.