This post is not related to our series of posts on "distributed computing". I have digressed a bit and since I released the BangDB as master -slaves config cluster hence thought of doing a simple performance comparison with the very popular db redis. This post is about a simple performance comparison of Redis and BangDB (server)
Redis: ( http://redis.io/topics/introduction )
Redis is an open source, BSD licensed, advanced key value store. It is also referred to as a data structure server since key can contain strings, hashes, lists, and sorted sets
In order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on the use case one can persist it either by dumping the data set to disk every once in a while, or by appending each command to a log
Redis also supports trivial-to-setup master-slave replication, with very fast non-blocking first synchronization, auto reconnection. Other features include Transaction, Pub/Sub, Lua scripting, Keys with limited time-to-live, and configuration to make Redis behave like a cache
BangDB: ( www.iqlect.com )
BangDB is multi flavored, BSD licensed, key value store. The goal of BangDB is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications
BangDB is transactional key value store which supports full ACID by implementing optimistic concurrency control with parallel verification for high performance and concurrency. BangDB implements it's own buffer pool, write ahead log with crash recovery and provides users with many configuration to control the execution environment including the memory budget
BangDB works as embedded, stand alone server and cluster db. It's very simple to set up master-slave configuration, with high performant non-blocking slave synchronization without ever bringing the server standstill or down
Redis: ( http://redis.io/topics/introduction )
Redis is an open source, BSD licensed, advanced key value store. It is also referred to as a data structure server since key can contain strings, hashes, lists, and sorted sets
In order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on the use case one can persist it either by dumping the data set to disk every once in a while, or by appending each command to a log
Redis also supports trivial-to-setup master-slave replication, with very fast non-blocking first synchronization, auto reconnection. Other features include Transaction, Pub/Sub, Lua scripting, Keys with limited time-to-live, and configuration to make Redis behave like a cache
BangDB: ( www.iqlect.com )
BangDB is multi flavored, BSD licensed, key value store. The goal of BangDB is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications
BangDB is transactional key value store which supports full ACID by implementing optimistic concurrency control with parallel verification for high performance and concurrency. BangDB implements it's own buffer pool, write ahead log with crash recovery and provides users with many configuration to control the execution environment including the memory budget
BangDB works as embedded, stand alone server and cluster db. It's very simple to set up master-slave configuration, with high performant non-blocking slave synchronization without ever bringing the server standstill or down
