The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

MongoDB has cemented its status as a global leader in the database market, evolving well beyond its roots as a popular NoSQL ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Currently, SQL databases have a well-defined LIKE operator with % (multi-character) and _ (single-character) wildcards, often extended with case-insensitive options and escape characters. In NoSQL ...

Aerospike, Inc., the real-time database for mission-critical use cases and workloads, is debuting new expression indexes—or a method of indexing that simplifies application code—that supercharge query ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of ...

As the integration of Large Language Models (LLMs) into scientific R&D accelerates, the associated privacy risks become increasingly critical. Scientific NoSQL repositories, which often store ...

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...

The importance of storing, organizing, and using data has increased every year. We are living in a data era where being competitive and agile means being able to manage data from a wide range of ...