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

Tips for success


  • Run Neo4j on Linux or BSD
  • Take advantage of the training options offered by Neo4j, Inc.
  • Talk to others in the community
  • Don't use Neo4j for the first time on something mission-critical
  • Recruit someone to your team who has graph database experience
  • Once in production, continue to monitor your instances' JVMs for GC performance and tune as necessary

As with all NoSQL data stores, it is important to remember that Neo4j is not a general-purpose database. It works well with specific use cases. Usually such cases are where the relationship is as (or more) important as the entities that it connects. To that end, Neo4j makes a great fit for things such as social networks, matchmaking sites, network management systems, and recommendation engines.

Equally as important as applying Neo4j to a proper use case is knowing what Neo4j antipatterns look like. Be sure to avoid using Neo4j with a full relational model (it is not a RDBMS). Try to avoid improper use of relationship types, as well as...