Struggling to choose between BigMemory and memcached? Both products offer unique advantages, making it a tough decision.
BigMemory is a Development solution with tags like caching, data-management, low-latency.
It boasts features such as Distributed in-memory data storage, Automatic data eviction and loading, Read/write caching for databases, Support for terabytes of data, Integration with Hadoop and Spark, High availability through replication and failover and pros including Very fast data access and throughput, Reduces load on databases, Scales horizontally, Lowers infrastructure costs by using RAM instead of disks, Supports both Java and .NET platforms.
On the other hand, memcached is a Network & Admin product tagged with caching, memory, performance.
Its standout features include In-memory key-value store, Distributed architecture, Simple protocol, Horizontal scalability, and it shines with pros like Very fast data lookup, Reduces database load, Improves overall application performance.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
BigMemory is an in-memory data management system that provides a fast, scalable cache and data store for applications. It allows storing terabytes of data in memory for low-latency data access.
Memcached is an open source, high-performance distributed memory object caching system. It is used to speed up dynamic web applications by alleviating database load for reading/writing frequently accessed data.