Load data from Oracle to Databricks in a few clicks
Focus on your business, not on getting your Oracle data into Databricks. Build scalable, production-ready data pipelines and workflows in hours, not days.
Oracle to Databricks Data Pipelines Made Easy
Your unified solution for building data pipelines and orchestrating workflows at scale.
How to set up a connection from Oracle to Databricks
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Connect easily to Oracle with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.
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Start analyzing your Oracle data in minutes with Rivery
Oracle is a database designed for enterprise grid computing, providing a flexible and cost effective way to manage information and applications. Enterprise grid computing creates large pools of modular storage and servers. There is no need for peak workloads, because capacity can be added or reallocated from the resource pools as needed.
Databricks SQL allows users to operate a multi-cloud lakehouse architecture that provides data warehousing performance at data lake economics. Databricks SQL is based on Databricks' Delta Lake, an open source solution for building, managing and processing data using Lakehouse architecture. Benefits for users include: SQL-native interface, ability to create visualizations and share dashboards, data lake administration, reliability and governance for data lakes, and multi-cloud support.
Rivery's SaaS platform provides a unified solution for ingestion, transformation, orchestration, and data operations.
“We saved several $100K we could have spent on development and maintenance. Within a few hours, you can build a production-ready, scalable ETL system.”
Gal Bar, Founder and CEO
Data Process Automation
“We solved some of our most complex data challenges with Rivery. The ability to create a unified data pipeline that is always up-to-date has been a game changer.”
Tali Stern, Director of Business Intelligence
Link Any Data Source
“Rivery has more than delivered on the value proposition I sold my leadership on. Rather than hiring two more developers, I’ve been able to build all these pipelines on my own.”
Sean Lucas, Head of Data Engineering
Zero Friction, Quicker Uptime