Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

Consolidating a series of recent enhancements around a single theme, Vast Data Inc. today launched what it calls an AI Operating System intended to support the coming age of “agentic computing,” where ...

“Enterprises need a data lake solution that consolidates large volumes of data from disparate sources," ESG analyst Jon Brown said. Cribl launched a new data lake as an alternative to traditional data ...

Data is critical to businesses of all sizes, and the idea of being able to store it anywhere and access it everywhere is immensely appealing. This is the promise of global file systems (GFS), which ...

What if the very foundation of your data storage could make or break your system’s performance and reliability? Choosing the right file system isn’t just a technical decision, it’s a pivotal choice ...

File, block and object are fundamental to how users and applications access and modify data storage. That’s been the case for decades, and the transition to the cloud has seen that remain so – but ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

If there’s one thing a modern business needs, it’s data—as much of it as possible. Starting with data warehouses and now with data lakes, we’re using on-premises and cloud tools to manage and analyze ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...