Percona Memory Engine for MongoDB Advantage

Salon B/C/D


Have you been looking for Performance of Redis or Memcache but  expressiveness of  MongoDB query language and simple High Availability and Sharding.    With Percona Memory Engine, which is available as part of Percona Server for MongoDB you can have it all 
In this talk we will speak about architecture of the MongoDB In-Memory storage engine and show some benchmarks compared to disk based storage engines and other in-Memory technologies.  Then we expand into some specific use cases where Percona Memory Engine for MongoDB excels, such as caching documents,  working with highly volatile data or workloads which have predictable response time requirements.

Vadim Tkachenko co-founded Percona in 2006 and serves as its Chief Technology Officer. Vadim leads Percona Labs, which focuses on technology research and performance evaluations of Percona’s and third-party products. Percona Labs designs no-gimmick tests of hardware, filesystems, storage engines, and databases that surpass the standard performance and functionality scenario benchmarks. Vadim’s expertise in LAMP performance and multi-threaded programming help optimize MySQL and InnoDB internals to take full advantage of modern hardware. Oracle Corporation and its predecessors have incorporated Vadim’s source code patches into the mainstream MySQL and InnoDB products. He also co-authored the book High Performance MySQL: Optimization, Backups, and Replication 3rd Edition.