This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...

As AI reshapes industries, most businesses still depend on data platforms built for a previous era of technology. In the age of big data, platforms like Snowflake, Databricks and Cloudera ...

What does it take to deliver superior data services and capabilities in today’s enterprises? With the rise of AI and machine learning (ML)—and their data-heavy workloads—data managers are actively ...

IBM said Tuesday it has a deal to acquire DataStax, including that company’s database platform, data streaming technology, and development tools for building data-intensive AI applications that use ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

When a data platform breaks, the clock starts ticking. Engineers rush to diagnose the problem, pull logs, investigate errors and take corrective measures. Every minute of downtime adds cost, risk and ...

It’s widely acknowledged that innovation drives a company’s growth and product development, and for organizations with research and development labs, these environments are central to that innovation.

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Many organizations have ...

The synergy between manufacturing execution systems (MES) and industrial data platforms is redefining efficiency and decision-making. Critical Manufacturing's CEO Francisco Almada Lobo explains how ...