SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

The growth of the Relational Databases Software Market is primarily driven by the exponential rise in enterprise data volumes, increasing adoption of cloud-based database solutions, and the ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Discover the best business intelligence (BI) tools of 2026 that help enterprises transform data into actionable insights.

The McKinsey report highlights that today's technologies could theoretically automate activities accounting for more than ...

Elastic stock analysis: wide moat, strong expansion and balance sheet, plus buyback. Valuation suggests ~56% upside to $108.8 ...

Oracle recognized the AI land grab accelerating in real time: a market rocketing from $80–100 billion today to $350–650 ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Tom Hodgson, the team’s Innovation Lead, recently joined Redgate Advocate Steve Jones on the Simple Talk podcast to explain how they’re pioneering ways to integrate AI into database workflows, ...