…cooperating with Hadoop to keep processing on the nodes that actually hold the data. Stu Hood then contributed a Pig LoadFunc, also in 0.6.
Fiction : Cassandra achieves its high performance by sacrificing reliability (alternately phrased: Cassandra is only good for data you can afford to lose)
Fact : unlike some NoSQL databases (notably MongoDB and HBase ), Cassandra offers full single-server durability . Relying on replication is not sufficient …
- High Scalability: Hot Scalability Links for April 8, 2010
- Spyced: And now for something completely different
- James on Software: Opinionated Modular Code
- Viget Extend : The Development Lab: Database Taxonomy
- Mike Perham: Cassandra and EventMachine
- High Scalability: Hot Scalability Links for February 24, 2010
…extensively from the Digg announcement and from Rackspace engineer Stu Hood, who explained Cassandra's appeal: "Over the Bigtable clones, Cassandra has huge high-availability advantages, and no single point of failure. When compared to the Dynamo adherents, 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. You also get efficient range queries for the top level …
- Spyced: And now for something completely different
- Spyced: Cassandra: Fact vs fiction
- Mike Perham: Cassandra Internals - Writing
- Viget Extend : The Development Lab: Database Taxonomy
- High Scalability: Hot Scalability Links for March 19, 2010
- Axon Flux // A Ruby on Rails Blog: WTF is a SuperColumn? An Intro to the Cassandra Data Model (Arin Sarkissian explains)