Couchbase Delivers 6x Better Price / Performance than Cassandra
Couchbase 4.5x Faster than MongoDB with Wired Tiger Storage Engine
Today’s web, mobile, and IoT applications need to operate at increasingly demanding scale and performance levels to handle: Thousands to millions of users. Terabytes or petabytes of data. Submillisecond response times. Multiple device types. Global reach. Caching frequently used data in memory can dramatically improve application response times, typically by orders of magnitude. Get your “High-Performance Distributed Caching” guide to learn more.
Enterprises are rapidly adopting NoSQL technology to power web, mobile, and Internet of Things applications at scale. But exactly how are they using NoSQL? What are some of the most common use cases? And what are the specific benefits from deploying NoSQL for those applications?
In this report, Altoros compares the architecture of three leading NoSQL databases: MongoDB, DataStax Enterprise, and Couchbase Server.
How does Couchbase compare to DataStax and MongoDB when it comes to operations per second? See Thumbtack Inc’s performance test results to find out.
Application requirements have fundamentally changed, and traditional RDBMS technology has failed to keep pace. As a result, the use of NoSQL technology is rising rapidly. Massive change is underway, disrupting the database status quo.
As NoSQL database technology is increasingly being chosen as a viable alternative to relational databases, developers need to approach application development and data modeling differently. Get started by learning more about the advantages of moving from Relational to NoSQL in this whitepaper.
Are you dealing with memcached problems like cold cache, heavy contention of RDBMS resources and lack of scale-out flexibility? Download this white paper to see how Couchbase can be a drop-in replacement for memcached servers and what you should consider when migrating existing memcached-based applications to Couchbase Server.
The unique architecture of Couchbase Server allows for easy scalability, consistent high performance, flexible data model and always-on 24x365 characteristics. In this paper we'll explore the internal components and design of Couchbase Server in detail.