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AjguDB
Welcome to AjguDB Documentation Kesako?! AjguDB is graph database written in Python with several backends. It's meant to be an easy to use, just works persistent graph for people that want to experiment with graph databases. SQLite for graphs, if I may. Getting started Create a Graph You need to choose a storage class and create a graph. There is three storages right now: ajgu.storage.BSDDB3 the d
heavenshell 2015/07/14
"AjguDB is graph database written in Python with several backends. It's meant to be an easy to use, just works persistent graph for people that want to experiment with graph databases. SQLite for graphs, if I may."

python

graphdb
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Titan: Distributed Graph Database
Titan is a scala ble graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Elastic and linear scalability for a growin
heavenshell 2014/06/06
"Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster."

db

graphdb
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GitHub - xslogic/phoebus: Phoebus is a distributed framework for large scale graph processing written in Erlang.
* UPDATE[29/11/2010] : Added support for 'Aggregate' function PHOEBUS ======= Contents -------- * Introduction * Computational Model * Distributed Processing * Getting it to work * Pluggable Storage and True Multi-Node Distribution with HDFS and Thrift * Next Steps * References Introduction ------------ Phoebus is a system written in Erlang for Distributed processing of very large graphs that span
heavenshell 2011/06/02
erlang

graphdb
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「GraphDB徹底入門」〜構造や仕組み理解から使いどころ・種々のGraphDBの比較まで幅広く〜
The document discusses graph databases and their properties. Graph databases are structured to store graph-based data by using nodes and edges to represent entities and their relationships. They are well-suited for applications with complex relationships between entities that can be modeled as graphs, such as social networks. Key graph database techno logies mentioned include Neo4j, OrientDB, and T
heavenshell 2011/01/23
graphdb
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neo4j open source nosql graph database
NODES 2024 Online Developer Conference | November 7, 2024 | Save the Date
heavenshell 2010/11/18
graphdb
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InfoQ: グラフデータベース、NOSQL、Neo4j
VoldemortやTokyo Cabinetといったキー/バリューシステムにおけるモデリングの最小単位はキー/バリューペアになる。そして、BigTableやそのクローンでは可変数の属性をもつタプルに、CouchDBやMongo DBといったドキュメントデータベースではドキュメントになる。これに対しグラフデータベースでは、データセット全体をひとつの巨大な高密度ネットワーク構造としてモデル化する。ここではNOSQLデータベースにおける2つの興味深いポイント、スケーラビリティと複雑さについて詳しく説明する。 1. スケーラビリティ CAP: ACID 対 BASE 従来のデータベースシステムのほとんどは、トランザクションに基づいてデータの完全性を保証する。トランザクションを使うことで、データ管理のあらゆる状況において、データの一貫性を確保している。こうしたトランザクションの性質は、ACID（A
heavenshell 2010/11/18
graphdb
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