Comments on: Why Digg Digs Cassandra

By: Jeryl

Jeryl — Fri, 19 Nov 2010 13:03:45 +0000

I must admit it has been pure heaven working with Cassandra on our project..it takes like 10 minutes to get up and running and clustered!

By: Digg Not Likely to Give Up on Cassandra «

Digg Not Likely to Give Up on Cassandra « — Wed, 08 Sep 2010 07:02:25 +0000

[...] at Digg, which led to the yet-unconfirmed departure of Digg VP of Engineering John Quinn. Hewas a big champion of Cassandra at [...]

By: Open the Clouds With Portable Stacks

Open the Clouds With Portable Stacks — Wed, 11 Aug 2010 00:09:51 +0000

[...] project, a next-generation database of the NoSQL variety and the engine powering the massive data needs of Twitter and Digg. These database technologies are the future of the webscale business — the next generation of the [...]

By: Clustrix Builds the Webscale Holy Grail: A Database That Scales

Clustrix Builds the Webscale Holy Grail: A Database That Scales — Wed, 11 Aug 2010 00:04:11 +0000

[...] startups and whole branches of code designed to help sites scale their data, from Hadoop to Cassandra to Twitter’s Gizzard. Mikesell said the product could replace the need for caching appliances [...]

By: Video: Riptano Packages Cassandra for the Enterprise

Video: Riptano Packages Cassandra for the Enterprise — Tue, 10 Aug 2010 23:05:52 +0000

[...] Pfeil pointed out that enterprise users are struggling with an overload of data much like web-scale startups like Digg and Twitter are, and that some enterprise users are considering Cassandra in addition to their [...]

By: NoSQL Pioneers Are Driving the Web’s Manifest Destiny

NoSQL Pioneers Are Driving the Web’s Manifest Destiny — Mon, 12 Jul 2010 17:45:59 +0000

[...] or Digg deciding to use Cassandra, or LinkedIn using Voldemort as a key-value store, are the equivalent of pioneers traveling along [...]

By: Clustrix Builds the Webscale Holy Grail: A Database That Scales - A Collection of Latest Happening in Technology Field

Tue, 04 May 2010 19:34:32 +0000

By: Twitter Open-sources the Home of Its Social Graph

Twitter Open-sources the Home of Its Social Graph — Mon, 12 Apr 2010 17:28:56 +0000

[...] day. So now I’m back to wondering if FlockDB and Gizzard will join the ranks of Hadoop or Cassandra as open-source solutions for managing data at [...]

By: Gizzard Anyone? Twitter Offers up Code for Distributed Data

Gizzard Anyone? Twitter Offers up Code for Distributed Data — Wed, 07 Apr 2010 14:19:54 +0000

[...] component of building out a web-based business, much like Facebook’s Cassandra project has swept through the ranks of webscale startups and even big [...]

By: Cassandra ライブ情報がテンコ盛り – Jonathan Ellis @ Rackspace [ #cassandra #nosql ] « Agile Cat — Azure & Hadoop — Talking Book

Fri, 26 Mar 2010 02:29:31 +0000

[...] Malik quoted extensively from the Digg announcement and from Rackspace engineer Stu Hood, who explained Cassandra’s [...]

By: NorthScale, a Memcached-focused Startup Launches – GigaOM

NorthScale, a Memcached-focused Startup Launches – GigaOM — Tue, 16 Mar 2010 12:35:51 +0000

[...] Why Digg Digs Cassandra See All Articles » NorthScale, a Memcached-focused Startup Launches [...]

By: Appistry Joins Cloudscale Storage Fray, and Brings Hadoop With It – GigaOM

Appistry Joins Cloudscale Storage Fray, and Brings Hadoop With It – GigaOM — Mon, 15 Mar 2010 13:02:18 +0000

[...] State of Google Apps See All Articles » Why Digg [...]

By: Digg migra sus bases de datos a NoSQL | GeekWe

Digg migra sus bases de datos a NoSQL | GeekWe — Sat, 13 Mar 2010 12:04:48 +0000

[...] Vía: GigaOm [...]

By: Hari

Hari — Thu, 11 Mar 2010 21:42:09 +0000

Facebook backed out? What do you mean? The project is under incubation with apache: http://incubator.apache.org/cassandra/

By: MySQL geht, Cassandra kommt : gobbits

MySQL geht, Cassandra kommt : gobbits — Thu, 11 Mar 2010 13:57:52 +0000

[...] Weiter bei GigaOM [...]

By: Aita

Aita — Thu, 11 Mar 2010 08:41:13 +0000

"Cassandra has the advantage of a more advanced datamodel, allowing for a single “row” to contain billions of column/value pairs: enough to fill a machine." - I dont' agree with this. Last time when I tested(0.5 version) it couldn't even handle gets of 500 columns properly. It is all hype I think.