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Sync Data from Oracle to Snowflake

Sync data with Oracle CDC to Snowflake for real-time data analysis with an intuitive cloud-based platform

Eliminate the Need to Hand Code and Simplify Your Data Sync from Oracle CDC to Snowflake

StreamSets offers ease of use, reusability, cross platform support, and automatic drift detection.

Embrace a Single Experience for All Patterns

Take advantage of a single, easy-to-use tool for all workloads (CDC, Streaming & Batch) that is proven to accelerate delivery efforts 10X. Finally, you can focus on higher order projects.

Oracle To Snowflake Sync

Avoid Breakages

Detect and automatically handle data drift, the inevitable changes in schema, semantics, and infrastructure for both the source and destination. Finally, say goodbye to building pipelines with blindspots and hello to confidence & visibility in continuous data!

Kafka Data Formats

Take Control of Your Environment

Easily install StreamSets secure engines in your environment and securely move data into the cloud. Operate and monitor all data pipelines in one place for full visibility across all environments: on-premise/self managed, hybrid, cloud and multi-cloud environments.

Data Operations

Learn How Oracle CDC to Snowflake Works

You can implement a data pipeline that syncs data between Oracle and Snowflake using Change Data Capture in 6 easy steps.

Get the Full Guide
Oracle To Snowflake Guide

Our customers run millions of data pipelines using StreamSets

It’s Easy to Build Your Oracle to Snowflake Pipeline

Build a data pipeline in less than 5 minutes that syncs data from Oracle to Snowflake.

Simplify Your Data Sync Between Oracle and Snowflake

Easy to Start, Easy
to Run, Easy to Expand

Handle Data
Drift Automatically

Deploy Securely
in Any Environment

What Our Customers Say

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“By moving to the cloud with StreamSets and by leveraging their big data ecosystem, we can finally use all of our data and break down the silos we’ve struggled with in the past.”
Jean-Marie Bertoncelli, Big Data and Analytics Architect
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“DataOps makes my life easier. In short, data engineers don’t just do development, they can actively monitor and make continuous improvement changes to data pipelines.”
Jeffrey Jennings, Senior Data Strategy Architect, TalentFulfilled
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