Up and Running with NoSQL Databases
Illustration by John Hersey

Up and Running with NoSQL Databases

with Joseph LeBlanc

Video: Cassandra

Cassandra is an available partition-tolerant database originally developed by Facebook. While it is similar to CouchDB in relation to the CAP theorem, it is quite different in others. The querying for Cassandra is not done over HTTP, each language has a native driver that you use to connect directly to Cassandra. Storage-wise Cassandra is a cross between a key/value store and a tabular database. Cassandra is an available partition-tolerant database. You should always be able to read from and write to Cassandra.

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Watch the Online Video Course Up and Running with NoSQL Databases
56m 57s Intermediate Nov 30, 2012

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Explore the possibilities NoSQL databases offer developers for unparalleled flexibility and performance. In this course, author Joseph LeBlanc shows how to build an entire web application with CouchDB and introduces techniques such as querying with JavaScript, working with nested data, and creating views. He also explains some of the trade-offs you might encounter with NoSQL databases, such as the complexity of partitioning data across multiple servers, and presents five commonly used NoSQL databases: CouchDB, MongoDB, Cassandra, Riak, and Redis.

Topics include:
  • What is NoSQL?
  • Installing CouchDB on Mac, Windows, and Linux
  • Storing data
  • Nesting document data
  • Specifying search criteria
  • Reducing data
  • Attaching and retrieving images
  • Deploying applications
  • Securing CouchDB
  • Understanding the CAP theorem
Subjects:
Developer IT
Software:
NoSQL CouchDB MongoDB Cassandra Riak Redis
Author:
Joseph LeBlanc

Cassandra

Cassandra is an available partition-tolerant database originally developed by Facebook. While it is similar to CouchDB in relation to the CAP theorem, it is quite different in others. The querying for Cassandra is not done over HTTP, each language has a native driver that you use to connect directly to Cassandra. Storage-wise Cassandra is a cross between a key/value store and a tabular database. Cassandra is an available partition-tolerant database. You should always be able to read from and write to Cassandra.

Hardware nodes can be added to Cassandra with no added downtime. As your application grows, you can add more hardware and Cassandra will keep running. The consistency of the data in Cassandra can be adjusted but it comes at the expense of the availability of the data. In Cassandra, each key maps to one or more columns, and those columns could be grouped into column families. Cassandra is queried using its own query language, which is similar to SQL. The query language is specifically designed for column groups as well as the adjustable consistency of Cassandra.

Cassandra is very different when compared to CouchDB. It is a cross between a key/value store and a tabular database with adjustable consistency. The structure is oriented around columns in column groups. However, like CouchDB, it is an available partition- tolerant database where new hardware nodes can be added easily.

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