In-Memory MongoDB Accelerator: Re-Imagine Ultimate Performance
Channel: DATAVERSITY
Date: 2014-03-28

If you have a medium to large-scale MongoDB deployment, and have scaling challenges and/or a need for more real-time performance, this session is for you. We will introduce a new offering from GridGain that brings in-memory capabilities to the most popular API for unstructured data storage and query - namely MongoDB. We will discuss how you can achieve elastic scale (think automatic transparent re-sharding) up to thousands of nodes, as well as dramatically better performance: higher throughput and lower latency via concurrent locking and parallel read/write operations. We will discuss various options around choosing databases or collections to keep in memory, synchronous and asynchronous persistence, vertical scale with terabytes of off-heap memory, Visor GUI-based management and monitoring, and much more.