Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Graph technology has become a requirement for the modern enterprise. Companies in virtually ...

Legacy “batch” data processing systems have long included tools for managing performance and ensuring security. StarTree is bringing those same capabilities to real-time data analysis and AI ...

One company that supports query and analysis of fast-moving enterprise data is growing fast as well. MemSQL’s relational real-time database analyzes data across hybrid computing environments, powers ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

Triangle counting stands as a fundamental task in graph theory and network science, offering critical insights into the structural properties of complex systems. By enumerating all sets of three ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

What is Graph Technology and What Can it do for Financial Institutions? Graph technology has been a cornerstone of mathematics for centuries, and its application in financial institutions and fintechs ...

In MotoGP racing, milliseconds matter — and real-time data analysis can mean the difference between a podium finish and a lost lead. That’s why NetApp Inc. empowers Ducati Motor Holding to collect, ...

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...