OSCache vs. EHCache

Question

Never used a cache like this before. The problem is that I want to load 500,000 + records out of a database and do some selecting/filtering wicked fast.

I\'m thinkin

Answer 1

OSCache is pretty much dead as it has been abandoned a few years ago. You may take a look at Cacheonix, it's been actively developed and we've just released v.2.2.2 with support for caching in the web tier. I'm a committer so you can reach out if you have any questions.

Answer 2

It sort of depends on your needs. If you're doing the work in memory on one machine, then ehcache will work perfectly, assuming you have enough RAM or a fast enough hard disk so that the overflow doesn't cause disk paging/thrashing. if you find you need to achieve scalability, even despite this particular operation happening a lot, then you'll probably want to do clustering. JGroups /TreeCache from JBoss support this, so does EHcache (I think), and I know it definitely works if you use Ehcache with terracotta, which is a very slick integration. This answer doesn't speak directly to the merits of EHcache and OSCache, so here's that answer: EHcache seems to have the most inertia (used to be the default, well known, active development, including a new cache server), and OSCache seemed (at least at one point) to have slightly more features, but I think that with the options mentioned above those advantages are moot/superseded. Ah, the other thing I forgot to mention is that transactionality of the data is important, and your requirements will refine the list of valid choices.

Answer 3

Judging by their releases page, OSCache has not been actively maintained since 2007. This is not a good thing. EhCache, on the other hand, is under constant development. For that reason alone, I would choose EhCache.

Edit Nov 2013: OSCache, like the rest of OpenSymphony, is dead.

Answer 4

I mainly use EhCache because it used to be the default cache provider for Hibernate. There is a list of caching solutions on Java-Source.net.

I used to have a link that compared the main caching solutions. If I find it I will update this answer.