Most projects benefit from having a data model. Read this article for an overview of the most common types.

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Document databases have long been the backbone of critical applications — now, they’re entering a new era of intelligence and capability. By embedding generative AI directly into the data ...

Looking Ahead: The Potential Of AI Databases As we move into an increasingly data-driven future, the role of AI databases will only continue to grow in importance.

The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish.

Oracle’s change in strategy to release a developer-first version of its new database is linked to the company’s plans to defend its market dominance and look at innovative ways to acquire new ...

According to news from the organizing committee of the 2025 Data Expo, domestic database leader Electric Science and ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

OpenAI is collaborating with Stack Overflow, the Q&A forum for software developers, to improve its generative AI models' performance on ...