SQL-Mongo Converter is a lightweight Python library for converting SQL queries into MongoDB query dictionaries and converting MongoDB query dictionaries into SQL statements. It is designed for ...

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

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...

NVIDIA Inception Partner Reports $143M in Active POCs Following August Platform Launch; Targets NASDAQ Listing Within 12 Months AUSTIN, Texas--(BUSIN ...

A study suggests that Google’s AI has started prioritizing YouTube videos over hospitals, medical journals, and government ...

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 ...

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

Abstract: Analyzing large data sets are challenging. Most data analytics research has proposed parallel algorithms that outside a DBMS because SQL is considered inadequate for complexity computations.

The main use case is benchmarking simple CPU-bound query variants against each other during local development. Only PostgreSQL is supported at this point, but pull requests for MySQL or other ...