HuLoop Automation, a leader in AI-powered work optimization, today announced the launch of QuickApp Builder, a no-code ...

New AI capabilities help DBAs move from performance visibility to performance resolution--turning slow queries into actionable index recommendations in minutes HOUSTON, March 19, 2026 /PRNewswire/ -- ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless ...

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 ...

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 ...

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Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

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 ...