Stream Oracle Data to Snowflake in Minutes

The Problem

Oracle databases run your most critical operations.

Getting that data into Snowflake for analytics and AI should be just as dependable. In practice, many teams still rely on multi-hop CDC pipelines and specialized tooling that take time to set up, monitor, and maintain — slowing down the path from transactional data to insight.

The Solution

The Snowflake Openflow Connector for Oracle offers a simpler, more direct path. Engineered together with Oracle, it uses the native XStream API to read changes directly from the redo log and stream them into Snowflake in near real time — agentless, with nothing to install on your Oracle servers.

We've worked closely with Oracle to make sure the connector behaves like a well-mannered guest on your source database. In published stress tests at ~37,000 TPS, XStream-based CDC added only ~3% CPU overhead and a deterministic, linear increase in redo volume — predictable, measurable, and manageable with standard DBA practices.

Flexible licensing means you can bring your own Oracle licence or use the embedded OEM option included with Snowflake.

What You Will Learn

• How Openflow leverages Oracle's native XStream API, and what the source-side footprint actually looks like at scale

• A live setup walkthrough using Cortex Code, from first connection to streaming data in minutes

• Architecture patterns for common Oracle-to-Snowflake replication use cases, including downstream capture for the most demanding production systems

• Licensing options: Bring Your Own Licence or embedded OEM included with Snowflake

• Real customer results, including how Yes Energy cut a 10-day initial load to under 6 hours

   

Who This Is For

Data engineers, solution architects, and platform leads evaluating a GoldenGate replacement, consolidating CDC tooling, or building real-time analytics and AI on Oracle data.