Network modernization is critical for AI success. Managed services partnerships offer a flexible, cost-effective solution to ...

Constructing the truly modern data application, capable of driving data-informed decisions across the organization, requires a lot of effort. To dramatically improve productivity, operational ...

Cloud security and application monitoring giant Datadog Inc. said today it’s looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. The financial ...

Rockset, the serverless search and analytics company, formally launched and unveiled a cloud service that runs SQL directly on raw data. Rockset offers developers and data scientists the shortest path ...

This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...

Applications are expected to be always-on, lightning fast, and endlessly scalable—whether it's powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to ...

MongoDB Atlas for the Edge enables organizations to build, deploy, and manage highly reliable, data-driven applications anywhere—across devices, on-premises data centers, and the cloud AWS and ...

As a strategic partner, Informatica’s best-of-breed Master Data Management (MDM) SaaS solution and MongoDB Atlas will enable customers to develop a new class of 360-degree data-driven applications ...

A robust data strategy is paramount for harnessing generative AI (GenAI), which is poised to significantly elevate global GDP by $7 trillion and enhance productivity within the next decade. In my ...

Utility professionals depend on their vehicles to transport them across wide geographical areas so they can conduct repairs, install new equipment, and maintain existing assets. When trying to restore ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...