Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

A move from siloed storage to data platforms unleashes the potential of AI-driven business. In partnership withHitachi Vantara Whether pursuing digital transformation, exploring the potential of AI, ...

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.

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

Redpanda, the well-funded Kafka-compatible streaming data platform that competes with the likes of Confluent, on Thursday announced that it has acquired open source stream-processing platform Benthos.

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 ...