Wrapping a relational database in graph APIs doesn’t work (my team really tried!), and so CIOs are going to have to confront this. Fortunately, there is help at hand for strategic-thinking CIOs.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

By bringing relational database-like capabilities to data lakes, Iceberg supports real-time processing, updates, and streaming workflows, making it a cornerstone of modern data architectures ...

Data architecture translates business needs into data and system requirements, ... including relational and NoSQL databases, cloud-based storage solutions, and processing tools.

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many ...

When LLMs pull from relational databases, a host of new problems emerge. What LLMs Need LLMs are trained to understand knowledge in the form of context, semantics and patterns.

What differentiates Neon, Shamgunov argues, is its architecture, which separates storage and compute to deliver a serverless multi-cloud Postgres database. It supports features like branching ...