Amazon DynamoDB now offers integrated vector search. A separate vector database is no longer needed, reducing operational overhead.

MongoDB's Ben Cefalo explains why the data layer is becoming the foundation of enterprise AI, the future of databases, application modernisation and hybrid cloud ...

Paycom's single-database architecture and automation reduce HR data risks by minimising data movement and fragmentation, ...

Enterprises building agentic systems need to perform continuous testing to ensure their AIs remain on task. This emerging ...

Jeff Dean Google departure: MapReduce and Bigtable co-creator Dean left Google after 27 years alongside Sanjay Ghemawat, Oriol Vinyals, and Quoc Le to launch Discovery Loop, a public benefit ...

Spread the love“`html If you’re a developer spending any significant amount of time wrangling data, you’ve likely felt the ...

Spread the love“`html When you picture a data scientist at work, what development environment comes to mind? For many, it’s ...

Methane-munching microbes in soil might be more important than previously thought, a new study finds. Soil is an important ...

A senior data engineer's honest first impressions after a Palantir Foundry bootcamp, including what it does better, what it ...

Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data ...

Its key platforms recognize fan preferences across competitions, and powered by AI Pods, use real-time data to generate new ...

Snowflake (NYSE:SNOW) introduced dynamic model routing in its Cortex AI Gateway, allowing enterprises to select between ...