High Speed Database
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VoltDB
NOSQL
Database normalization is a technique for designing relational database schemas that ensures that the data is optimal for ad-hoc querying and that modifications such as deletion or insertion of data does not lead to data inconsistency. Database de normalization is the process of optimizing your database for reads by creating redundant data. A consequence of denormalization is that insertions or deletions could cause data inconsistency if not uniformly applied to all redundant copies of the data within the database.
Dare Obasanjo aka Carnage4Life - Building Scalable Databases: Denormalization, the NoSQL Movement and Digg
CTO of 10gen, MongoDB creators: We are sort of similar to MySQL or PostgreSQL in terms of how you could use us « myNoSQL
That whole class of problems exists because there’s a very clunky mapping from objects to relational databases. With document databases, that mapping becomes much simpler. I only partially agree with this.
Cassandra
Welcome to HBase!
Use HBase when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware.
In two weeks we’ll present a paper on the Dynamo technology at SOSP , the prestigious biannual Operating Systems conference.
