AWS continues to expand its serverless database offerings, aiming to help improve cost and lower operational complexity.

SqlDBM, a leading collaborative, cloud-based data modeling platform for the enterprise, is unveiling Tx, a transformational workflow solution that empowers teams to facilitate both relational and ...

This online data science specialization is ideal for learners interested in database design, database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You ...

Relational Databases: These databases store data in tables with rows and columns. They are widely used in Machine Learning and AI because they are easy to use and provide a structured way to store ...

In the dynamic world of technology, Raghavendra Sangarsu emerges as a trailblazer, particularly in the realm of relational databases. With a wealth of experience exceeding 13 years in the IT industry, ...

Real numbers, real ROI, and real business impact." KumoRFM is a pre-trained Relational Graph Transformer model, enabling it to learn across multiple tables of structured enterprise data.

SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data ...

Like NoSQL, vector databases also specialize in unstructured data types (e.g., images, videos, social media posts), but are particularly well suited to large language models (LLMs) and generative AI.

Vector databases, on the other hand, store and process data in the form of vector embeddings, which convert text, documents, images, and other data into numerical representations that capture the ...