Features — execnet v1.0.1 documentation     execnet provides carefully tested means to ad-hoc interact with Python interpreters across version, platform and network barriers. It provides a minimal and fast API targetting the following uses: distribute tasks to local or remote CPUs write and deploy hybrid multi-process applications write scripts to administer a bunch of exec environments Features automatic bootstrapping: no manual remote installation. safe and simple serialization of python builtin types (no pickle) flexible communication: synchronous send/receive as well as callback/queue mechanisms supported easy creation, handling and termination of multiple processes well tested interactions between CPython 2.4-3.1, Jython 2.5.1 and PyPy 1.1 interpreters. fully interoperable between Windows and Unix-ish systems.     http://codespeak.net/execnet/     tags: distributed python Brewer's CAP Theorem     Consistency, Availability and Partition Tolerance     http://www.julianbrowne.com/article/viewer/brewers-cap-theor...     tags: cap distributed brewer Cassandra Project     Cassandra is a highly scalable, eventually consistent, distributed, structured key-value store. Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable. Like Dynamo, Cassandra is eventually consistent. Like BigTable, Cassandra provides a ColumnFamily-based data model richer than typical key/value systems. Cassandra was open sourced by Facebook in 2008, where it was designed by one of the authors of Amazon's Dynamo. In a lot of ways you can think of Cassandra as Dynamo 2.0. Cassandra is in production use at Facebook but is still under heavy development.     http://incubator.apache.org/cassandra/     tags: amazon cassandra mapreduce distributed database