In financial services, database risk extends beyond IT. It affects delivery, operational resilience, and governance at the ...

Modernize legacy BI without disruption. Refactor business logic into a governed semantic layer while keeping dashboards ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Digital travel platform Agoda today announced the open-source release of its API Agent, a universal Model Context Protocol ...

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 ...

This project aims to design a join sampling framework that enables very fast approximate queries in open-source database systems. Project is Not Currently Available This project has reached full ...

Enterprise and developers can now view Hedera’s full transaction history on Google BigQuery. They can track NFTs, DeFi trends, and tokenized assets across multiple platforms. HBAR price gained nearly ...

When querying a bi-directional relationship / join field with multiple conditions, Payload generates multiple SQL LEFT JOINs for the same table. This causes performance issues for large datasets. We ...

Data optimization startup Qbeast Analytics Inc. says it’s going to help organizations eliminate the “hidden tax” of big data lakehouse frameworks like Delta Lake after raising $7.6 million in seed ...

At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?