Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Forge 2025.3 adds AI Assistant to SQL Complete, supports SSMS 22, Visual Studio 2026, MySQL 9.5, MariaDB 12.2, and ...

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Abstract: Oracle provides several options to aid performance, such as partitioning large tables, using materialized views, storing plan outlines, and many others. This chapter examines how DBAs can ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

IRIS combines local LLM analysis (Qwen 2.5 Coder - 82% SQL accuracy) with reinforcement learning (DS-DDPG) to deliver intelligent schema optimization recommendations for Oracle 26ai databases, ...

Search is changing faster than ever – and 2026 may be the year it fully breaks from the past. Over the last year, AI has reshaped how people discover, decide, and convert, collapsing the traditional ...

Google’s VP of Product, Robby Stein, recently answered the question of what people should think about in terms of AEO/GEO. He provided a multi-part answer that began with how Google’s AI creates ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...