Query optimisation remains a critical discipline in database systems, underpinning the efficiency and responsiveness of data-driven applications. By selecting optimal execution plans, modern query ...

Qbeast gets $7.6M in funding to streamline data lakehouses queries with multidimensional indexing - SiliconANGLE ...

Undertaking a database migration or a system overhaul is often seen as one of the most daunting tasks in software development ...

Elastic (NYSE: ESTC), the Search AI Company, today announced a major update to the Elasticsearch Query Language (ES|QL) in ...

Espresso AI, the LLM-Driven Cost Optimization Platform for data warehouses, today launched a Kubernetes Scheduler for ...

StarTree is adding support for the Apache Iceberg data table format to its real-time data analytics cloud platform.

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...

Bharath Thandalam Rajasekaran spearheaded a transformative data engineering initiative at Lotame, where he built a scalable ...

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...