Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...

Abstract: Domain-specific architecture has greatly improved performance and energy efficiency in in-memory databases, especially for accelerating single-functional computing logic in analytic query ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Explore how SQL Server 2025 reshapes the modern data platform with AI-ready capabilities, developer-first enhancements, hybrid modernisation and practical upgrade readiness guidance. For many years, ...

SQL Server 2025 introduces vector-based search capabilities directly into the database platform. This allows organisations to store and query vector embeddings alongside relational data, supporting ...

Abstract: MapReduce is a widely-used programming model in cloud environment for parallel processing large-scale data sets. The combination of the high-level language with a SQL-to-MapReduce translator ...

Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility. The PostgreSQL ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...