These days users won’t tolerate slow applications. More often than not, the database is the bottleneck in the application. To solve this many people add a caching tier like memcache on top of their database. This has been extremely successful but also creates some difficult challenges for developers such as mapping SQL data to key-value pairs, consistency problems and transactional integrity. When you reach a certain size you may also need to shard your database, leading to even more complexity.
VMware vFabric SQLFire gives you the speed and scale you need in a substantially simpler way. SQLFire is a memory-optimized and horizontally-scalable distributed SQL database. Because SQLFire is memory oriented you get the speed and low latency that users demand, while using a real SQL interface. SQLFire is horizontally scalable, so if you need more capacity you just add more nodes and data is automatically rebalanced. Instead of sharding, SQLFire automatically partitions data across nodes in the distributed database. SQLFire even supports replication across datacenters, so users anywhere on the globe can enjoy the same fast experience.
Stop by to learn more how SQLFire gives high performance without all the complexity.
This session is sponsored by VMware
Carter Shanklin has been a Product Manager at VMware for more than 4 years and focuses on VMware’s GemFire and SQLFire, both of which are horizontally scalable distributed databases focused on high-performance OLTP applications. Before VMware, Carter spent nearly 10 years as a software developer, and keeps sharp writing code in his spare time. Carter holds a M.S. in mathematics from George Mason University.
As the Chief Architect for GemFire products at VMWare, Jags is responsible for the technology direction for its high performance distributed data Grid. Jags has been a part of several Java standards – EJB, J2EE while at GemStone systems, XML based JSRs like JAXM while at BEA. He also represented BEA in the W3C SOAP protocol specification. Jags has presented in several conferences in the past on Data management, clustering and grid computing. He has over 20 years of experience, a bachelors degree in computer science and a masters degree in management of science and technology.
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