Gain a MongoDB Advantage with the Percona Memory Engine

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  Wednesday, December 6, 2017    Vadim Tkachenko

Join Percona’s, CTO, Vadim Tkachenko as he presents "Gain a MongoDB Advantage with the Percona Memory Engine” on Wednesday, December 6, 2017 at 11:00 am PST / 2:00 pm EST (UTC-8).

Looking for the performance of Redis or Memcache, the expressiveness of MongoDB query language and simple high availability and sharding? Percona Memory Engine, available as part of Percona Server for MongoDB, has it all!

In this webinar Vadim explains the architecture of the MongoDB In-Memory storage engine, and shows some benchmarks compared to disk-based storage engines and other in-memory technologies.

Vadim will share specific use cases in which Percona Memory Engine for MongoDB excels, such as:
- Caching documents
- Highly volatile data
- Workloads with predictable response time requirements

Experience: Entry Level to Intermediate

Tags: Developer, DBAs, Operations

Download Slides  Watch Recorded Webinar 

About the Author

Vadim Tkachenko

Vadim Tkachenko co-founded Percona in 2006 and serves as its Chief Technology Officer. He leads Percona CTO Labs, which focuses on technology research and performance evaluations of Percona and third-party products, designing hardware, filesystems, storage engines, and databases that surpass the standard performance and functionality scenario benchmarks. Under his supervision, Percona has developed and shipped Percona Server for MySQL, Percona XtraBackup, Percona XtraDB Cluster, Percona Server for MongoDB. 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. Prior to joining Percona, Vadim served as Performance Engineer at MySQL AB as well as founded a web development company in his native Ukraine. He also spent two years in the High-Performance Group within the official MySQL support team. In addition, Vadim has also co-authored the book High-Performance MySQL: Optimization, Backups, and Replication, 3rd Edition. Vadim received a BS in Economics and an MS in Computer Science from the National Technical University of Ukraine, and lives in North Carolina with his wife and two children.