Struggling to choose between BigMemory and RethinkDB? 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, RethinkDB is a Development product tagged with nosql, json, document-database, distributed, scalable, high-availability.
Its standout features include Distributed JSON document database, Automatic sharding, Fault tolerance and automatic failover, High availability, Simple query language, Changefeeds for realtime queries, Strong consistency, and it shines with pros like Horizontally scalable, High performance, Easy to use query language, Realtime push queries, Open source with permissive license.
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.
RethinkDB is an open-source, distributed JSON document database that focuses on easy scalability and high availability. It has an intuitive query language and simple administration tools.