Key-code-value in memory data store. Here is the promised feature set:
1. Scalable off-heap storage allows using the whole server’s RAM. Tested up to 30G of memory.
2. Very low and predictable latencies. With cache size = 30G: Avg latency = 3.5 microsecond, Median = 2.5 microsecond. 99% - 25 microseconds, 99.9% = 50 microseconds, 99.99% < 300 microseconds.
3. Max latencies are in 100’s ms even for very large caches.
4. Very fast (up to 7x times faster than BigMemory). 3.5M requests per second (90/10 get/put) with eviction = LRU and cache size = 28G.
5. Very fast (faster 4 x times than on-heap Ehcache ).
6. Hard limit on a maximum cache instance size (in bytes) and hard limit on overall allocated memory.
7. Low overhead per cache entry (24 bytes).
8. Compact String representations in memory.
9. Fast serialization using Kryo
10. Custom serialization through Writable, Serializer interface.
11. Multiple eviction policies: LRU, FIFO, LFU, RANDOM.
12. Two types of Secondary cache indexes (optimized for scan and optimized for lookup).
13. Very low index memory overhead (< 10 bytes per cache entry).
14. Indexes are lightweight (creation performance: 10-20M of cache entries per second).
15. Indexes are off-heap as well. So you do not have to worry about Java OOM.
16. Execute/ExecuteForUpdate API allows to execute Java code inside server process thus allowing more efficient data processing algorithms (no need to lock-load-store-unlock data on a client side).
17. Direct Memory Access allows to implement rich off heap data structures such as: lists, sets, trees etc.
18. Query API.
19. Queries are performed on serialized version of objects (without materializing objects themselves, using DMA).
20. Queries are very fast (scan of 10s of millions cache entries per second per server w/o indexes).
21. Supported OS: Linux, FreeBSD, NetBSD, Mac OSX, Solaris 10,11. 64 bit only.
22. Infinispan 5.0 integration.
23. Ehcache integration.