NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



cloud computing: All content tagged as cloud computing in NoSQL databases and polyglot persistence

NoSQL databases and the Cloud with Guy Harrison

Guy Harrison (QuestSoftware, working on Toad for Cloud) interviewed about NoSQL databases and cloud computing:

I think anyone who’s been in the industry for a while, especially from an enterprise point of view, will understand that the data isn’t in the database just for the sake of the application. It’s not there just to be inserted, and updated, and deleted. It’s also there to be mined and analyzed and used for decision-making and trending. And the more data there is, the more granular data I’ve got, the more fine-grained decision making I can have.

Most of the of the NoSQL databases offer no solutions for that whatsoever.

There are many smart things said in the interview so make sure you read it all.

Couple of my notes:

  • what is big data?

“It’s the whole argument that it’s easier to leave the data where it is, on commodity hardware and then have an engine that can churn through it with brute force, rather than pay the costs of bringing it in to some structure and locking it down before you can use it.”

  • cloud computing and big data:

First, all of the cloud platforms have to provide some sort of elastic storage model otherwise their economic model is jeopardized.


If you’re in the cloud, you’re probably motivated more than usual to try NoSQL solutions; you probably want to scale up and down and pay for your resources that way, and relational databases don’t help there.


The problem, of course, is how the data is getting to the cloud. If you’ve got terabytes or petabytes of data, getting into the cloud costs money and takes time. Amazon’s solution of “you send us a hard drive and we’ll mount it” is a bit clunky.

Original title and link: NoSQL databases and the Cloud with Guy Harrison (NoSQL databases © myNoSQL)


Riak in the Cloud with Joyent SmartMachines

I usually don’t trust vendor benchmarks, but these Riak benchmarks look pretty much inline with Mozilla’s Riak benchmark. What is even more impressive is that these results were from running Riak on virtualized machines (the Joyent SmartMachines[1]).

Watch it for youself. Slides can be downloaded from ☞ here

  1. You can read more about Joyent SmartMachines ☞ here.  ()

Original title and link: Riak in the Cloud with Joyent SmartMachines (NoSQL databases © myNoSQL)

Redis Part of the nova Cloud Computing Fabric

Nova is a cloud computing fabric controller (the main part of an IaaS system) built to match the popular AWS EC2 and S3 APIs. It is written in Python, using the Tornado and Twisted frameworks, and relies on the standard AMQP messaging protocol, and the Redis distributed KVS.

Distributed in the sense of supporting master/slave.

Original title and link for this post: Redis Part of the nova Cloud Computing Fabric (published on the NoSQL blog: myNoSQL)