In this session, we will discuss various SQL scale-up/out strategies along with their trade offs.

We will explore how to set up SQL RDBMS architecture that scales out and is both elastic and consistent, while simultaneously delivering fault tolerance and ACID compliance.

We will also cover how data gets distributed in this architecture, how the query processor works, how rebalancing happens and other architectural elements. Examples cited will include cloud deployments and e-commerce use-cases.

The key take-aways are:

• Five RDBMS scaling strategies along with their trade offs
• The importance of having no single point of failure for OLTP (fault tolerance)
• The vagaries of the cloud and how it impacts using an RDBMS in the cloud

Robbie Mihalyi

Vice President of Engineering,
Clustrix

Robbie leads the Clustrix development and QA teams; he has over 25 years of technology leadership and operational experience at startups and large organizations. He has led both database product development teams and SaaS application development teams.

Prior to Clustrix, Robbie was the founder and CTO of Thynkster. Robbie has also worked in vice president roles at marketing software companies Marketo and MarketLive. At both companies, he implemented Agile processes and practices, significantly improving concept-to-market deployment.

In addition, Robbie served 10 years as the key engineer on the database engine at Sybase, later becoming the director of SQL server. Later, he led the performance effort for the RDBMS system, posting record-breaking benchmarks and leading the scalability re-architecture of the core database engine.