I am looking for distributed kv database for caching small binary objects, like images with TTL. Size limitation is not a problem, as I am planning to split each object anyway, to minimize latency. I need C# and Java drivers, and in very near future I will also need C++ driver. The databases like CouchDb and Redis seems to be document based. Mongo supports binary data and well documented, but it is persistent and I am not sure it is scalable in terms of throughput , Cassandra is also persistent and I am not sure about C++/C# drivers quality + need for constantly repair because of deletions.
Aerospike is commercial and also document based. Maybe Riak with memory or leveldb backend (anyone worked with its C++ client?)
Aerospike would be a perfect solution for you because of below reasons:
Serves all your Use cases
- Key Value based.
- Open sourced from 3.0 version. Earlier upto 2 node Aerospike cluster was open sourced and 3 or more nodes cluster was paid.
- Can be used in Caching mode with no persistence.
- Supports LRU and TTL.
- Can save binary data.
Reasons for choosing Aerospike
- Throughput: Better than Mongo/Couchbase or any other NoSQL solution. See this http://www.aerospike.com/benchmark/.
Have personally seen it work fine with more than 300k read TPS and 100k Write TPS concurrently.
- Automatic and efficient data sharding, data re-balancing and data distribution using RIPEMD160.
- Highly Available system in case of Failover and/or Network Partitions.
Couchbase (not CouchDB) is a great option for you. Highly scalable, easy to understand, use and scale. It's a KV document database evolved from memcached that also offers secondary indexes through Map/Reduce and many new things coming soon. You can still use memcached protocol/libraries or speed it up with Couchbase SDK's.
Have you looked at Pivotal GemFire Pivotal GemFire is a distributed data management platform providing dynamic scalability, high performance, and database-like persistence.
Pivotal GemFire also has client drivers in C++, C# and Java
