This release is a pre-release and may not be stable for production use.
GrapheekDB is a fast and lightweight Graph Database with various KVS (Key/Value Store) backends :
Local memory (default backend)
Kyoto Cabinet : http://fallabs.com/kyotocabinet/
Symas LMDB : http://symas.com/mdb/
Implementing a new backend for other KVS is quite easy : Local Memory backend is implemented in less that 50 lines of code.
Features :
nodes (aka vertices) and edges creation and deletion
nodes and edge lookup (using a django-like syntax)
path traversal (using a gremlin-like syntax)
basic nodes & edges indexing feature (works with one or many field)
aggregation
speed : path traversal often occurs at 1 million entities/second - thanks to the backends :)
concurrency : with 1000 concurrent users and simple node creation/deletion, the server can handle 7000 requests/second - thanks to 0mq and gevent
code base test coverage is currently : 100 %
Installation :
pip install grapheekdbQuick intro :
A quick introduction is available at : https://bitbucket.org/nidusfr/grapheekdb/src/default/docs/intro.rst
Links:
Home Page : https://bitbucket.org/nidusfr/grapheekdb
1 maintainer
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