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

Redis anti-patterns


Redis is a favorite data store of many developers due to its raw performance. However, it is important to make sure that it is being used properly, otherwise, problems can and will occur.

Dataset cannot fit into RAM

Redis' greatest asset is its speed, due to the fact that data is written to and read from RAM. If your dataset cannot fit into RAM, then disk I/O begins to enter the picture (as memory is swapped to disk) and performance can quickly degrade.

Note

Larger-than-RAM datasets were previously managed in Redis by a feature known as disk store, but it has since been deprecated.

Modeling relational data

Several good tools exist for storing, serving, and managing relational data; Redis is not one of them. As Redis requires a query-based modeling approach, reading relational data may require multiple operations and potentially application-side joins. Additionally, Redis is not an ACID-compliant database, which can further complicate write operations if the relational-like...