SBIR Phase I: GraphSQL: Powering Relational DBMS with Fast and Easy-to-Use Graph Analytics

SBIR 第一阶段：GraphSQL：通过快速且易于使用的图形分析为关系型 DBMS 提供支持

• 批准号: 1248736
• 负责人: Ruoming Jin
• 金额: $ 15万
• 依托单位: GraphSQL INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1248736&HistoricalAwards=false
• 关键词: SBIR; Phase; GraphSQL; Powering; Relational

This Small Business Innovation Research (SBIR) Phase I project will develop novel technologies and a software system which adds fast, and easy-to-use graph analytics to the relational database system (RDBMS). Querying and analyzing massive graph data (graph analytics) not only can enrich and enhance business, social and government intelligence, but also can help significantly advance scientific and technology discovery. However, most of the existing graph data (business, financial, governmental, and social networking data) are stored in the traditional RDBMS that provides little fundamental support for graph analytics. This is because graph analytics requires extensive recursive and traversal operations, which are hard to represent and prohibitively expensive to execute in RDBMS. To address this fundamental challenge, this project will develop a powerful graph engine and transparently connect RDBMS with the graph engine. The anticipated results of the project include novel techniques for building a graph processing engine and connectors between RDBMS and the graph engine, and a beta-version software system, which will be tested and employed by two or three early adopters/customers.The broader impact/commercial potential of this project will be to help deliver better insights into the complex nature of relationships between people, their decisions and their interactions with others in all areas of businesses and intelligence, such as online social networking, marketing and advertisement, banking and finance, logistics and transportation, telecommunications, healthcare and hospitals, homeland security, bio-engineering and drug discovery, etc. The technologies and software developed in this project can also directly contribute to the five major analytics segments (end-user query and reporting analysis, data warehouse management, financial performance and strategy management applications, custom relationship analytics applications, and data warehouse generation), each with the global revenue of more than one billion dollars.

这个小企业创新研究（SBIR）第一阶段项目将开发新技术和软件系统，为关系数据库系统（RDBMS）添加快速，易于使用的图形分析。查询和分析海量图数据（图分析）不仅可以丰富和增强商业、社会和政府情报，还可以帮助显著推进科学和技术发现。然而，大多数现有的图数据（商业、金融、政府和社交网络数据）都存储在传统的RDBMS中，这些RDBMS几乎没有为图分析提供基本的支持。这是因为图分析需要大量的递归和遍历操作，这些操作很难表示，并且在RDBMS中执行起来非常昂贵。为了解决这个根本性的挑战，这个项目将开发一个强大的图形引擎，并透明地连接RDBMS与图形引擎。该项目的预期成果包括构建图形处理引擎和RDBMS与图形引擎之间连接器的新技术，以及将由两三个早期采用者/客户测试和使用的beta版本软件系统。该项目的更广泛影响/商业潜力将有助于更好地洞察人与人之间关系的复杂本质，他们的决策以及他们与商业和情报所有领域的其他人的互动，例如在线社交网络，营销和广告，银行和金融，物流和运输，电信，医疗保健和医院，国土安全，生物工程和药物发现，该项目开发的技术和软件也可以直接为五大分析领域做出贡献。（最终用户查询和报告分析、数据仓库管理、财务绩效和战略管理应用程序、自定义关系分析应用程序和数据仓库生成），每一个都有超过十亿美元的全球收入。