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

What are the key features of Redis?


Redis has many features that make it an attractive option for an application data store. Its penchant for performance makes it a favorite of developers. But there are several other additional points of functionality that make Redis unique.

Performance

The underlying idea behind Redis is very straightforward: to read and write as much data as possible in RAM. As the majority of the operations do not include disk or network I/O, Redis is able to serve data very quickly.

Tunable data durability

The underlying architecture that allows Redis to perform so well is that data is both stored and read from RAM. The contents of RAM can be persisted to disk with two different options:

  • Via a forked snapshot process which creates an RDB file
  • Using Append-only Files (AOF), which saves each write individually

While using the AOF option has a direct impact on performance, it is a trade-off that can be made depending on the use case and the amount of data durability that an application...