American technology giants AWS, Google, and Microsoft dominate the global cloud database management systems (DBMS) market.

It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

Data foundations were never designed to support intelligent workloads at scale, but unified data lakehouse architecture might ...

One of the challenges of migrating older applications to a cloud-native, modern IT architecture is how to provide persistent ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

A modern data fabric makes it possible to turn existing enterprise knowledge into a trusted foundation for AI.

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Here's why the C-suite needs to understand entity engineering as a corporate asset, not a digital marketing tactic.

The gap between what traditional architectures were built to handle and what enterprises face today is widening fast.

The human genome comprises both our protein-coding genes and the regulatory information that controls when, and to what extent, those genes are expressed. While humans mostly share the same repertoire ...