Hi,
From my experience while NoSQL databases are very fast and scalable, there is
lack of _good_ support for popular frameworks. I've try with django and
mongoengine, but results was poor. In my company we're building now large
api-driven application with django and postgresql as a base. Django has two
great api engines - piston and tastypie. Consider looking to nosql eg. mongodb
as caching engine and session storage. Django is mature and stable framework,
it has some limitations but there are good and documented use cases for doing
almost everything You may need. Look also at server layer - popular apache and
cgi-like solutions has very poor performance. Maybe You have use-cases to
develop with messages queues like celery.
W dniu sobota, 12 maja 2012 10:32:09 UTC+2 użytkownik Alec Taylor napisał:
I am building a project requiring high performance and scalability, entailing:
• Role-based authentication with API-key licensing to access data of specific
users
• API exposed with REST (XML, JSON), XMLRPC, JSONRPC and SOAP
• Easily configurable getters and setters to create APIs accessing the same
data but with input/output in different schemas
A conservative estimate of the number of tables—often whose queries require
joins—is: 20.
Which database type—e.g.: NoSQL or DBMS—key-value data store or
object-relational database—e.g.: Redis or PostgreSQL—and web-framework—e.g.
Django, Web2Py or Flask—would you recommend?
Thanks for all suggestions,
Alec Taylor
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