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 ...
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 ...
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 ...
Oracle recently launched its Exadata X11M product to the market. Exadata is an integrated hardware and software platform designed from the ground up to optimize Oracle Database workloads. Exadata X11M ...
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 ...
MariaDB Enterprise Platform 2026 powers modern AI application development by uniting transactional and analytical workloads with native vector search, built-in RAG and intelligent agents – all on the ...
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 ...
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 ...
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