I'm looking to start using a key/value store for some side projects (mostly as a learning experience), but so many have popped up in the recent past that I've got no idea where to begin. Just listing from memory, I can think of:
And I'm sure that there are more out there that have slipped through my search efforts. With all the information out there, it's hard to find solid comparisons between all of the competitors. My criteria and questions are:
Edit:
So far it looks like Redis is the best solution, but that's only because I've gotten one solid response (from ardsrk). I'm looking for more answers like his, because they point me in the direction of useful, quantitative information. Which Key-Value store do you use, and why?
Edit 2:
If anyone has experience with CouchDB, Riak, or MongoDB, I'd love to hear your experiences with them (and even more so if you can offer a comparative analysis of several of them)
RonDB is the fastest key-value store currently available and the only one with general purpose query capabilities, through its SQL support. The performance of key-value stores are evaluated based on low Latency, high Availability, high Throughput, and scalable Storage (LATS).
A key-value database stores data as a collection of key-value pairs in which a key serves as a unique identifier. Both keys and values can be anything, ranging from simple objects to complex compound objects.
Amazon DynamoDB: Probably the most widely used key-value store database, in fact, it was the research into DynamoDB that really started making NoSQL really popular. Aerospike: Open-source database that is optimized for in-memory storage.
Key-value store advantagesThanks to the simple data format that gives it its name, a key-value store can be very fast for read and write operations. And key-value stores are very flexible, a valued asset in modern programming as we generate more data without traditional structures.
Which do you recommend, and why?
I recommend Redis. Why? Continue reading!!
Which one is the fastest?
I can't say whether it's the fastest. But Redis is fast. It's fast because it holds all the data in RAM. Recently, virtual memory feature was added but still all the keys stay in main memory with only rarely used values being swapped to disk.
Which one is the most stable?
Again, since I have no direct experience with the other key-value stores I can't compare. However, Redis is being used in production by many web applications like GitHub and Instagram, among many others.
Which one is the easiest to set up and install?
Redis is fairly easy to setup. Grab the source and on a Linux box run make install
. This yields redis-server
binary that you could put it on your path and start it.
redis-server
binds to port 6379 by default. Have a look at redis.conf
that comes with the source for more configuration and setup options.
Which ones have bindings for Python and/or Ruby?
Redis has excellent Ruby and Python support.
In response to Xorlev's comment below: Memcached is just a simple key-value store. Redis supports complex data types like lists, sets and sorted sets and at the same time provides a simple interface to these data types.
There is also make 32bit
that makes all pointers only 32-bits in size even on 64 bit machines. This saves considerable memory on machines with less than 4GB of RAM.
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