Opening Up the SQL Ecosystem to Advantages of Graph Technology

Cambridge Semantics and  CData Software have formed a technology partnership to provide SQL query access to a code-free, graph-based, big data management and analytics environment.  With graph technology becoming increasingly popular in today’s data-driven organizations, the partnership opens a new option to SQL users who will be able use their existing query skills and familiar data access tools to access the integration of diverse data sources.

According to the companies, the new partnership addresses three facts of enterprise data management: Data has become a strategic asset for enterprises, enterprise knowledge graphs are growing in use, and the world still relies on SQL. This partnership with CData Software helps solve a large industry problem by ensuring that SQL users don’t get left behind when it comes to accessing graphs, said Steve Dischinger, vice president business development, Cambridge Semantics.  As customers look to analyze data that is increasingly inter-connected and linked, they will be able to leverage their existing database query skills, he noted.

“Our universally supported driver technologies provide a ubiquitous bridge between data and a greater ecosystem of analytics and integration tools,” said Amit Sharma, CEO of CData Software. "We are excited to work with Cambridge Semantics to bring these technologies to the Anzo Smart Data Lake platform, simplifying the process for end users to work with their data in a graph-based environment."

CData Software specializes in the development of drivers and data access technologies for real-time access to online or on-premise applications, databases, and SaaS APIs. Leveraging its high-performance query engine, CData Software will develop new ODBC and JDBC drivers for Cambridge Semantics’ Anzo Smart Data Lake (SDL) 4.0, the company’s flagship platform based on open standards that builds a semantic layer at scale on all enterprise data.  By providing Structured Query Language (SQL) access to SDL, the new drivers will enable an even broader range of users to extract reusable knowledge graphs at unprecedented high rates of speed in their own business language, the companies state.

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