MongoDB is a leading provider of NoSQL database technology, offering a flexible, JSON-like document model instead of rigid relational tables. Its core products include MongoDB Atlas, a fully managed ...

Q&A. Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB. By David Ramel; 05/27/2025; As developers look to harness the power of AI in their applications, one of the most ...

The big difference with SQL Server, as opposed to many other database-related AI announcements, is that you have complete control of what AI model you use with SQL Server and where you run it.

Leveraging their existing MariaDB database, customers eliminate the need to maintain separate vector databases. MariaDB’s use of vector embedding is native and not an add-on capability, which ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

They were able to complete tasks up to 71% faster, up to 63% more effectively, and with up to 83% more confidence with SQL database in Fabric." SQL database in Fabric is optimized for AI by offering ...

The difference is apparent in search on traditional databases and vector databases. On a SQL database, you search for explicit, definite values, such as keywords, or numerical values and you rely ...

Google's latest updates bring SQL to Bigtable and powerful new data features to Spanner, simplifying the integration of AI and enhancing the capabilities of global, scalable databases for enterprises.

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...