Devart is releasing dbForge 2026.1, a major update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem.
New dbForge release improves AI-powered SQL generation and adds PostgreSQL visual query building and table editing By ...
Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...
The purpose of the job is to plan, manage, administer, and secure system databases, troubleshoot database issues affecting system performance, and ensure data quality across the databases. As an SQL ...
In today's data-driven world, optimizing SQL queries across diverse workloads is a significant challenge. Traditional static optimization techniques often fall short, especially in dynamic, ...
Query optimization lies at the heart of modern database management systems, striving to identify the most efficient access and execution plan for a given declarative query. Traditional optimisers ...
Digital Healthcare Architect specializing in the design and integration of enterprise healthcare platforms. Digital Healthcare Architect specializing in the design and integration of enterprise ...
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/ -- ...
Abstract: DataFrame libraries are widely adopted in data science for their flexible, Pythonic interfaces, but their fragmented APIs and unstructured query patterns limit systematic optimization.
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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
The SQL optimizer incorrectly alters the logic of a query that uses CTEs and nested JOIN operations. WITH `res` AS ( SELECT `t2`.`id`, CAST(IF(NOT `t3`.`id` IS NULL, 1, 0) AS BIGINT) AS `id_active`, ...
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