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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
3.5 (6)
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Seven NoSQL Databases in a Week

Seven NoSQL Databases in a Week

3.5 (6)
By: Sudarshan Kadambi, Xun (Brian) Wu

Overview of this book

This is the golden age of open source NoSQL databases. With enterprises having to work with large amounts of unstructured data and moving away from expensive monolithic architecture, the adoption of NoSQL databases is rapidly increasing. Being familiar with the popular NoSQL databases and knowing how to use them is a must for budding DBAs and developers. This book introduces you to the different types of NoSQL databases and gets you started with seven of the most popular NoSQL databases used by enterprises today. We start off with a brief overview of what NoSQL databases are, followed by an explanation of why and when to use them. The book then covers the seven most popular databases in each of these categories: MongoDB, Amazon DynamoDB, Redis, HBase, Cassandra, In?uxDB, and Neo4j. The book doesn't go into too much detail about each database but teaches you enough to get started with them. By the end of this book, you will have a thorough understanding of the different NoSQL databases and their functionalities, empowering you to select and use the right database according to your needs.
Table of Contents (10 chapters)
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What are the key features of Cassandra?


There are several features that make Cassandra a desirable data store. Some of its more intrinsic features may not be overtly apparent to application developers and end users. But their ability to abstract complexity and provide performance ultimately aims to improve the experience on the application side. Understanding these features is paramount to knowing when Cassandra can be a good fit on the backend.

No single point of failure

In Cassandra, multiple copies of the data are stored on multiple nodes. This design allows the cluster (and the applications that it serves) to continue to function in the event of a loss of one or more nodes. This feature allows Cassandra to remain available during maintenance windows and even upgrades.

Tunable consistency

Although Cassandra embraces the AP side of the CAP theorem triangle, it does allow the level of consistency to be adjusted. This especially becomes useful in multi-tenant clusters, where some applications...

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