Yugabyte, the distributed SQL database expert, is unveiling extended vector search functionality and PostgreSQL compatibility for YugabyteDB, the AI-ready, multi-modal, distributed PostgreSQL database ...

Integrating distributed SQL and vector database solutions presents a strategic modernization opportunity for businesses navigating AI-driven applications. Vector databases excel in quick 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 ...

They are designed to support transactions, which isn’t really a concept in a native vector database, according to Forrester. They also generally have better support for third-party tooling. If you ...

Most recently, both Google Cloud and Couchbase expanded vector search capabilities in their database offerings. Google Cloud, which last year announced support for pgvector vector search capabilities ...

In other words, vector databases are like a specialty store that provides a specific type of services to customers. SVDBs' strength in their specificity, however, can be a weakness for many users.

These capabilities, dubbed AI Vector Search, include a new vector data type, vector indexes, and vector search SQL operators that enable the Oracle Database to store the semantic content of ...

Google Cloud on Thursday said it is adding vector support and integrating LangChain with all of its database offerings in an effort to outdo rival cloud service providers, such as Amazon Web ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI.

Why SQL Succeeded. To some extent, SQL was successful due to timing. As a way to standardize work around data, it provided a list of commands that were easy to understand.