At the Ignite conference today, Microsoft made a series of announcements about Azure databases. It announced a brand-new Azure database called HorizonDB, which is a fully managed PostgreSQL database ...

Microsoft used its annual conference to roll out sweeping updates across Managed Instance, Cosmos DB, Fabric, PostgreSQL and SQL Server tooling, signaling broad investments in performance, scalability ...

A massive 4TB SQL Server backup file belonging to global accounting giant Ernst & Young (EY) was discovered publicly accessible on Microsoft Azure. The exposure, uncovered by cybersecurity firm Neo ...

Microsoft Azure experienced simultaneous outages, disrupting access to websites, apps, and cloud-connected services across industries on Wednesday afternoon. The dual failure triggered widespread ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Fill in the blank for the Contoso cloud scenario. A(n) [?] helps organizations get the most ...

A threat actor has destroyed data and backups following exfiltration in a victim’s Microsoft Azure environment in a novel cloud-based ransomware attack. Microsoft Threat Intelligence recently provided ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

We take pride in delivering innovation with each new version of Microsoft SQL Server. However, there comes a time when product lifecycles must conclude. On July 14, 2026, SQL Server 2016 will reach ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...