I have been experimenting with Redis, and I really like the scalability that it brings to the table. However, I\'m wondering how to handle changes to data structures for a system that\'s already in pr
I am researching RavenDB for use in a system (mostly as a persistant key-value cache) and need to know what are the limitations of the actual data t开发者_如何学Gohat can be stored.
In our project we already have an embedded in-memory key-value storage for objects, and it is very usable, because it allows us to make indexes for it and query the storage based on it. So, if we have
Today I just learned that Adobe Air has a local SQL database, which is great; however, we had been creating XML and JSON files to handle mostly everything. Rather than re-architect our application to
I need to go over a huge amount of text (> 2 Tb, a Wikipedia full dump) and keep 开发者_运维百科two counters for each seen token (each counter is incremented depending on the current event). The only
I\'ve been hearing a lot of talk about schema-less (often distributed) database systems like MongoDB, CouchDB, SimpleDB, etc...
There appears to be a myriad of NoSQL dat开发者_如何学JAVAabases available these days: CouchDB MongoDB
Let\'s suppose that we have 3Gb key-value storage on server A. I\'m starting to fe开发者_JAVA百科el that we need another server (server B). So, I have to separate server A data over shards (server A,
I need a reliable K-V storage to be run in network. Main requirements: Network conn开发者_StackOverflowectivity
I need to write a C++ application that reads and writes large amounts of data (more than the available RAM) but always in a sequential way.