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I was just thinking about this issue in the last few days. I'm working on a side project, due to the nature of the data model, converting back and forth to fit
by NhanH 12y ago
I was just thinking about this issue in the last few days. I'm working on a side project, due to the nature of the data model, converting back and forth to fit into a relational database is kind of annoying, so I was looking around for other databases.
Right now, the situation with database is that we have to convert our internal data structure into a representation that fit the data model of the database we're using (ie rows for relational, document/key for the NoSQL group). I can see the reason the data model has to be that way for scaling, distributed etc... But if I'm happy to scale my database up, and would prefer to have the database storing the data as close to the memory data structure as possible (similar to object databases -- albeit with a boarder definition of "object"), is there any database that could do that?
Otherwise, is there any suggestion on how I could get started to build one?
- mrkurt 12y agoRedis is good at storing various data structures. Sets, sorted sets, hashes, etc. As long as "scaling up" means adding memory it's good.