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In my code ramblings during the developement of Code Zauker, I ended up studing a bit NoSql database.
Code zauker started using Redis, because Redis is a very bold memory-based no-sql db. Redis also support complex data type like sorted set, lists and so on, which was very userful. Anyway I needed a very fast way of doing statistics on data collected by code zauker, for inspecting data and finding out new feature I’d like to add to it. Worst, my current pocket pose a hard limit on a redis instance in terms of available RAM. So I started thinking a lot about a redis drop-in replacement for Code Zauker.
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Dapper is a single file you can drop in to your project that will extend your IDbConnection interface. [...]
A key feature of Dapper is performance. The following metrics show how long it takes to execute 500 SELECT statements against a DB and map the data returned to objects.
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At Gioorgi.com we was never a SQL fan. In 2000 we thinked SQL was boring, mostly because sql algebra could be a bit boring. Then we found this book written by one of the father of SQL. Years ago Google and then Facebook popped out with new incredible ideas, for improved and super fast scalability, which eventually turned to the “NoSQL” mantra.
But NoSQL is a mature technology, or it is only a path traced by the Social company out of there? Let’s explore together…
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