Skip to main content

MongoDB launches Global Clusters to put geographic data control within reach of anyone

MongoDB‘s Atlas service has been giving companies a managed database service in the cloud for some time. Mongo deals with all the heavy lifting behind the scenes, relieving the developer of creating it all themselves. Today the company announced it was taking that a step further by allowing customers to have granular control over where the data lives with a new feature called Global Clusters.

This allows companies to choose a cloud provider, then move data from a MongoDB database running in Atlas to any location in the world. As MongoDB CTO and co-founder, Eliot Horowitz explained, it doesn’t matter who the cloud provider is, you can set a data location policy, select a cloud vendor and data center location, and see what the results will look like on a graphical representation of the world map. When you give the OK, Mongo moves the data automatically for you in the background without shutting anything down to do it.

Global Clusters interface. Screenshot: MongoDB

Lots of countries are requiring proof of data sovereignty, including the EU’s GDPR rules that went into effect last month. It has been challenging for many businesses to comply with these kinds of rules on their own. Horowitz said he created geographic partitions before Atlas and it required a tremendous amount of engineering effort. By providing it as a service in this fashion, the company is putting this kind of data migration in the hands of the smallest business owners, giving them that geographic granularity from the start.

“I think what you’re going to see is a lot of [small businesses], who feel they can now compete with some of the larger websites and actually have that high level of service on day one, rather than having to wait to hire a team of engineers.”

The beauty of this approach from Mongo’s perspective is that they don’t even have to worry about building a worldwide data center presence of their own. Instead they simply piggy back on the global locations of each of the main public cloud providers, AWS, Microsoft and Google.

“The cool thing is that those data centers come from any of the cloud providers. So you can actually do this on any cloud provider that you want in any region [they support],” he said.

This feature will be available starting today for all Atlas users.



from TechCrunch https://ift.tt/2lA68Am
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT