NOSQL. Building Scalable Databases: Denormalization, the NoSQL Movement and Digg. 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 denormalization 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. A Hitchhiker's Guide to NOSQL v1.0. CTO of 10gen, MongoDB creators: We are sort of similar to MySQL or PostgreSQL in terms of how you could use us « myNoSQL. Some quotes and comments from ☞ (a quite long) interview with Eliot Horowitz, CTO of 10gen, creators of MongoDB: I think the first question you have to ask about any database these days is, “What’s the data model?”
The only thing I’d add is: “… and how does that fit my problem?”. MongoDB.
Welcome to HBase! Amazon's Dynamo. In two weeks we’ll present a paper on the Dynamo technology at SOSP, the prestigious biannual Operating Systems conference.
Dynamo is internal technology developed at Amazon to address the need for an incrementally scalable, highly-available key-value storage system. The technology is designed to give its users the ability to trade-off cost, consistency, durability and performance, while maintaining high-availability. Let me emphasize the internal technology part before it gets misunderstood: Dynamo is not directly exposed externally as a web service; however, Dynamo and similar Amazon technologies are used to power parts of our Amazon Web Services, such as S3. Database Sharding. CodeFutures offers an effective sharding solution with our product, dbShards.
Our customers have used dbShards to achieve unprecedented performance, in the scope of hundreds of millions of reads and millions of writes every day. Database Sharding The Rise of Database Sharding The concept of Database Sharding has been gaining popularity over the past several years, due to the enormous growth in transaction volume and size of business application databases.