Berkeley DB would be the best choice probably but I can't use it due to licensing issues.
Are there any alternatives?
Berkeley DB would be the best choice probably but I can't use it due to licensing issues.
Are there any alternatives?
You can try Hazelcast. Just add hazelcast.jar to your classpath. And start coding
java.util.Map map = Hazelcast.getMap("myMap");
You'll get an in-memory, distributed, dynamically scalable data grid which performs super fast.
Your question could mean one of two things.
If you mean a data structure for storing key-value pairs, use one of the Map
instances that are a standard part of the JDK.
If however you are after an in-memory key-value store then I would suggest taking a look at EHCache or even memcached.
HashMap?
Chronicle-Map is a strong alternative.
java.util.Map
implementationjdbm works great for this sort of thing. It's intended for storing on disk in a paged file, provides for basic transaction support (no guarantees on isolation, but ACD are covered). We've used it in a production system with fairly wide deployment and have been quite pleased with the performance, stability, etc...
Consider using jredis. It's a Java client for Redis, a persistent key-value store. There's also a JDBC driver for it: code.google.com/p/jdbc-redis/.
I know this is a two-year old post but I've been messing around with Infinispan recently and I like it so far. I'm not an expert by any means but it was not too difficult for me to set up a distributed cache with a few nodes and I was pulling some data from them in about an hour.
MapDb is an alternative to Berkley with a friendly Apache 2 license.
There are lightweigh or embedded dbs like HSQLDB, Derby, SQLite But like others don't understand why you need a db to store key/values...
Why not a Map? Need to keep key/values on app reboot?
Also it's perhaps not what you need but with html5 on up to date browsers you have localStorage that permits you to store key/values in the browser using javascript.
I would recommend to try a Redisson. You will able to use distributed and scalable Map
or ConcurrentMap
and other (Set, List, Queue, Lock ...) implementations on top of high performance key-value Redis server.
Easy example:
Redisson redisson = Redisson.create();
ConcurrentMap<String, SomeObject> map = redisson.getMap("anyMap");
...
redisson.shutdown();