Book Image

Seven NoSQL Databases in a Week

By : Sudarshan Kadambi, Xun (Brian) Wu
Book Image

Seven NoSQL Databases in a Week

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 (16 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, the Redis data store was presented and discussed, along with acceptable features and use cases. Simple cases for using Redis were also shown, along with a description of what the coded examples intended to accomplish. Redis has been shown to perform very well, with configuration options for data expiration, as well as several available data types to assist with storage. It also has additional features that can be used for message brokering, counter types, and server-side scripting.

It is important to note that there are some cases where Redis may not perform optimally. Care should be taken to properly configure things such as security and THP, as well as taking care to follow good practices in the application code, such as avoiding the use of the KEYS command and unnecessary trips over the network. The intended dataset should also be inspected, so as to be sure that it fits into RAM, and that it is not relational in nature.

Redis is flexible, lightweight, easy to use...