Abstract: As organizations increasingly rely on collaborative relational analytics over private databases, secure multi-party computation (MPC) has emerged as a key solution to process private data.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Explore how Madhava Rao Thota is driving innovation in AI, cloud computing, and enterprise database transformation in 2026, helping organizations accelerate digital transformation, scalability, ...

Enterprises can now bring existing SQL Server licenses to Amazon RDS, making it easier to move operational data closer to AWS analytics and agentic AI services. Licensing can be complicated, ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amy is an ACA and the CEO and founder of ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

SQL developers manage structured databases that power payments, healthcare, retail, and cloud systems. Cloud platforms increase demand for SQL skills, including scaling, backup systems, and security ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...