You want to replace a business process running on Access with a different system.When you think that way, what do you do ...

Query Apache Iceberg tables stored in cloud storage directly from AlloyDB and join them with live operational data in a ...

The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...

AI agents need data products to reliably discover and use enterprise data.

IntroductionRecently, it has become standard for AI to write the scaffolding for code if you tell it what you want to build in plain language. The bottleneck of personal development has shifted from ...

Developer-first PostgreSQL environment that offers sub-2-second instant provisioning, scale-to-zero pause & resume, and 1–2 ...

Oracle is announcing enhancements to Oracle Autonomous AI Lakehouse designed to improve business context, data access, and governance for analytics and AI workloads.

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

In this quickstart, you build a C++ console application on Windows, Linux, or macOS. The application connects to an `AdventureWorksLT` database by using Microsoft ODBC Driver 18 for SQL Server, binds ...

GitHub is where people build software. More than 225 million people use GitHub to discover, fork, and contribute to over 800 million projects.

As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...

AI Analytics Assistants help software teams query data in natural language, uncover insights faster, and reduce manual SQL ...