Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate cardinality ...

“SQL on everything” is the tagline associated with Presto, the query engine that was initially developed by Facebook to rapidly analyze massive amounts of data — particularly data that lay scattered ...

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/ -- ...

Driven by the rapid hardware development of parallel CPU/GPU architectures, the authors have witnessed emerging relational query processing techniques and implementations on those parallel ...

On Friday the 13th of March 2026, M.Sc. Valter Uotila defends his PhD thesis on Quantum Computing Methods for Query Optimization in Relational Databases. The thesis is related to research done in the ...

Optimizing data indexing and layout can significantly reduce retrieval times and improve storage efficiency. Categorizing and prioritizing relevant data based on specific factors, such as location or ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Query fan-out optimization has a simple goal: making your content useful across multiple related queries at once, not just a single keyword. AI-powered search systems and LLMs increasingly answer ...