Marking Drasi’s first anniversary: introducing GQL support for Continuous Queries
Drasi turns one with GQL support—giving developers more ways to build change-driven systems.
Drasi turns one with GQL support—giving developers more ways to build change-driven systems.
We'll create an independent identity for DocumentDB and provide a conduit for database providers to contribute to our mission.
The Azure Incubations team is proud to share that Drasi has officially been accepted into the Cloud Native Computing Foundation Sandbox.
Our focus this past year has been on security, business excellence in OSS, safety, and supporting our upstream.
Redefining how applications are build, managed, and understood with Radius—from the Azure Incubations team.
With its resource-efficient and high-performance nature, ONNX Runtime helped us meet the need of deploying a large-scale multi-layer generative transformer model for code, a.k.a., GPT-C, to empower IntelliCode with the whole line of code completion suggestions in Visual Studio and Visual Studio Code.
With extensive support for all major Linux distributions including Red Hat, SUSE, Ubuntu, CentOS, Debian, and managed platform-as-a-service (PaaS) offerings for open source databases like Azure Database for MySQL, Azure Database for PostgreSQL, and Azure Database for MariaDB—it’s no surprise that Linux is the fastest growing platform on Azure.
Modern analytics and the resulting business insights unlock new opportunities to optimize company performance and open new revenue streams. Since these initiatives also heighten the need for greater security and governance of company data, Identity and Access Management (IAM) needs to be a foundational component of any corporate security plan that covers company data.
About two years ago, we heard an increasing demand from the .NET community for an easier way to build big data applications with .NET, outside of needing to learn Scala or Python. Thus, in a collaboration between Azure Data and .NET teams, we started the .NET for Apache® Spark™ open source project.
Earlier this year, we released Data Accelerator for Apache Spark as open source to simplify working with streaming big data for business insight discovery. Data Accelerator is tailored to help you get started quickly, whether you’re new to big data, writing complex processing in SQL, or working with custom Scala or Azure functions.
Microsoft has invested in confidential computing for many years, so I’m excited to announce that Microsoft will join industry partners to create the Confidential Computing Consortium, a new organization that will be hosted at The Linux Foundation. The Confidential Computing Consortium will be dedicated to defining and accelerating the adoption of confidential computing.
Today, we rely on our everyday services to be delivered digitally and expect the experience to be instant. In order for customer-facing applications to respond to users in 100ms, you need a high-performance database capable of handling a variety of application scenarios at the lowest complexity and cost, with uncompromising performance.
When you’re building a new app, there is a lot you need to focus on. Behind the scenes, there is data stored somewhere, often in a Postgres database. Data is essential, and it needs to be accessible and available.