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现在已经是 2013 年了,这个问题仍然出现在查询中,所以对于任何遇到这个问题的人来说,这里有两个选择:
Titan:“Titan 是一个高度可扩展的图形数据库,针对存储和查询包含分布在多机集群中的数十亿个顶点和边的大规模图形进行了优化。Titan 是一个事务数据库,可以支持数千个并发用户。”
GraphLab:“GraphLab 是一个用 C++ 编写的基于图的高性能分布式计算框架。GraphLab 可扩展到图GraphLab 可以轻松处理数十亿个顶点和边,其执行速度比竞争系统快几个数量级,它将机器学习算法、异步分布式图计算、优先级调度和图放置方面的进步与优化的低级系统设计和高效的数据结构相结合,以实现无与伦比的性能。在具有挑战性的机器学习任务中的性能和可扩展性。”
It's 2013 now and this question still shows up in queries, so here are two options for anyone that stumbles by:
Titan: "Titan is a highly scalable graph database optimized for storing and querying massive-scale graphs containing billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users."
GraphLab: "GraphLab is a graph-based, high performance, distributed computation framework written in C++. GraphLab scales to graphs with billions of vertices and edges easily, performing orders of magnitude faster than competing systems. GraphLab combines advances in machine learning algorithms, asynchronous distributed graph computation, prioritized scheduling, and graph placement with optimized low-level system design and efficient data-structures to achieve unmatched performance and scalability in challenging machine learning tasks."
现在是 2019 年。我来自 Nebula Graph。
It's 2019. And I'm from Nebula Graph.