How to Add Speed and Scale to SQL, Support New Data Needs, and Keep Your RDBMS

Over the last decade, the 10x growth of transaction volumes, 50x growth in data volumes, and drive for real-time response and analytics has pushed relational databases beyond their limits. Scaling an existing RDBMS vertically with hardware is expensive and limited. Moving to NoSQL requires new skills and major changes to applications. Ripping out the existing RDBMS and replacing it with another RDBMS with a lower TCO is still risky. 

Learn how companies have been using GridGain® or Apache® Ignite™ to add in-memory speed and unlimited horizontal scale to SQL with no rip-and-replace of the underlying database. This session will explain how to:

  • Configure Apache Ignite to sit in-between existing SQL (and NoSQL) databases and applications, auto-load SQL schema and data, and automatically keep Apache Ignite and the database in synch
  • Optimize SQL for optimal speed and linear horizontal scalability 
  • Use Apache Ignite as a common data access layer across existing applications to support new real-time analytics, APIs, hybrid transactional/analytical processing (HTAP), streaming analytics or machine and deep learning without impacting the performance of the existing applications or databases
Valentin Kulichenko
Valentin Kulichenko
Director of Product Management at GridGain Systems

Valentin is a passionate, open-source Apache Ignite community member and a PMC member. He dedicates his time to public speaking, contributing code, and providing technical help through the dev and user mailing lists.