Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Redis

You're reading from   Mastering Redis Take your knowledge of Redis to the next level to build enthralling applications with ease

Arrow left icon
Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781783988181
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Vidyasagar N V Vidyasagar N V
Author Profile Icon Vidyasagar N V
Vidyasagar N V
Jeremy Nelson Jeremy Nelson
Author Profile Icon Jeremy Nelson
Jeremy Nelson
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Why Redis? FREE CHAPTER 2. Advanced Key Management and Data Structures 3. Managing RAM – Tips and Techniques for Redis Memory Management 4. Programming Redis Part One – Redis Core, Clients, and Languages 5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps 6. Scaling with Redis Cluster and Sentinel 7. Redis and Complementary NoSQL Technologies 8. Docker Containers and Cloud Deployments 9. Task Management and Messaging Queuing 10. Measuring and Managing Information Streams A. Sources Index

Redis as an analytics complement to MongoDB


As one of the most popular NoSQL data storages, MongoDB, is classified as a document store where the data is organized around manipulation and searching a variant of JSON-based documents called BSON (short for binary serialized object notation). MongoDB, the Mongo name is extracted from the word humongous, was started by the MongoDB Inc. company in 2007 and was released under an open source license in 2009. MongoDB is still sponsored and developed by MongoDB Inc with customers having the option to purchase enterprise support and hosting for MongoDB from the company:

MongoDB Document Store

As a document-oriented data storage, MongoDB stores BSON objects instead of having rows and tables like a relational database. MongoDB does not provide a way to formally join different documents together nor does it support atomic transactions on multiple documents where all operations are guarantee to be executed. MongoDB does provide secondary indexes to improve...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime