Enterprises are shifting from simply storing data to harnessing it through layered, AI-ready data platforms that integrate seamlessly across the stack. The trend is pointed toward trusted foundations ...

Here's what you need to know about the key data analytics trends CIOs and IT leaders face in 2026. Data used to be an operational byproduct, but in today’s enterprise, it’s now the core input that ...

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 ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Software comes in builds. When source code is compiled and ...

Modern data platforms are essential to efficiently collecting, storing, processing and analyzing structured and unstructured data. This enables organizations to optimize their operations, increase ...

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

AI tools combine dashboards, natural language queries, and predictive modeling for faster insights based on real-time data.Enterprise platforms a ...

Independent Research Firm Identifies Multimodel Data Platforms (MMDPs) as “The Missing Layer in Your AI Stack” for AI and Agentic Architectures Arango, a provider of Contextual AI data infrastructure, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...