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

Introduction to InfluxDB


InfluxDB is developed by InfluxData. It is an open source, big data, NoSQL database that allows for massive scalability, high availability, fast write, and fast read. As a NoSQL, InfluxDB stores time-series data, which has a series of data points over time. These data points can be regular or irregular type based on the type of data resource. Some regular data measurements are based on a fixed interval time, for example, system heartbeat monitoring data. Other data measurements could be based on a discrete event, for example, trading transaction data, sensor data, and so on.

InfluxDB is written on the go; this makes it easy to compile and deploy without external dependencies. It offers an SQL-like query language. The plug-in architecture design makes it very flexible to integrate other third-party products.

Like other NoSQL databases, it supports different clients such as Go, Java, Python, and Node.js to interact with the database. The convenience HTTP native API can...