Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...

Brave Software developers have created a new privacy-centric database query system called FrodoPIR that retrieves data from servers without disclosing the content of user queries. Brave plans to use ...

Serverless database developer Fauna Inc. today released a query language inspired by TypeScript along with new web and local development capabilities and a declarative database schema. The company ...

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

The Grafana tool Mimir introduces the new Mimir Query Engine, which is intended to serve as a faster alternative to ...