Slides: https://www.slideshare.net/DataStax/batch-processing-20-billion-txns-in-oracle-vs-cassandrasparkkafka-ananth-ram-murali-kannan-accenture-c-summit-2016 | Architecting to Scale : A Comparative study of 20+ billion transactions/day in Oracle vs Cassandra/Spark/Kafka This presentation compares technical and solution architectures of two very large complementary batch processing systems in Oracle and Casandra and the lessons learned in running these two systems in production. This session will cover: 1. Advantages of the solution architecture where Kafka and DSE spark streaming are combined for near real-time processing with Cassandra acts as the back-bone for queries and persistence. 2. Details of Technical architecture that describes differences in Oracle that runs on 1000+ CPUs with 24TB of RAM while Cassandra/Spark/Kafka uses 100's of commodity servers. 3. Differences in processing 20 billion events using Cassandra, spark streaming and Kafka verses processing 20 billion+ transactions a day in Oracle batch system. 4. Cassandra vs Oracle - Operational and Performance Optimization differences 5.Design patterns difference About the Speakers Ananth Ram Senior Principal / Senior Manager, Accenture Ananth Ram is a Solution Architect with over 17 years of experience in Oracle database Architecture and designing large scale applications. He was with Oracle Corp for nine years before joining Accenture as Senior Principal . As a part of Accenture, Ananth has been working on many large scale Oracle and big data initiatives in the last four years. Murali Kannan Principal Consultant, Accenture Murali Kannan is a seasoned database engineer with 13 years of experience managing physical, virtual and cloud based database platforms, as well as designing and developing software solutions and tools. Self-starter with deep knowledge of RDBMS technologies, he is very passionate about designing next generation database solutions.