MongoDB expands availability of MongoDB Atlas to 6 extra cloud areas

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MongoDB has made its multi-cloud developer information platform MongoDB Atlas accessible in six extra cloud areas in Canada, Germany, Israel, Italy, and Poland — now mentioned to be essentially the most broadly accessible developer information platform on the earth.

With this growth, MongoDB Atlas is now accessible in 117 cloud areas throughout Amazon Web Services (AWS), Google Cloud, and Microsoft Azure to satisfy the calls for of extra clients with information residency, availability, and latency-sensitive software necessities. For clients that want ultra-high availability or need to extra simply mix companies from totally different cloud suppliers, MongoDB Atlas is the one globally distributed developer information platform for seamlessly operating functions throughout main cloud suppliers concurrently. To get began with MongoDB Atlas, go to mongodb.com/atlas.

Sahir Azam, chief product officer at MongoDB, mentioned: “Since introducing multi-cloud clusters on MongoDB Atlas that can run across AWS, Google Cloud, and Microsoft Azure, we have made it easy for customers to control where their data resides by distributing it across major cloud provider regions to meet data sovereignty, regulatory, and performance requirements for their applications.

“Multi-cloud clusters on MongoDB Atlas also give customers the flexibility of seamlessly using cloud services across major providers for their application needs. With the addition of six new cloud regions around the globe, we’re providing greater choice for customers to build modern applications with MongoDB Atlas and to meet the unique demands of their businesses. From customers just getting started migrating and modernising legacy applications, to those now deploying new generative AI capabilities, we’re providing even more flexibility in where and how they run their workloads using MongoDB Atlas.”

In addition to the broadest selection of obtainable cloud areas, multi-cloud clusters on MongoDB Atlas give clients the power to mix totally different companies from AWS, Google Cloud, and Microsoft Azure to construct, deploy, and run fashionable functions. For instance, with a MongoDB Atlas multi-cloud cluster, organisations can use information from an software operating on a single cloud supplier and course of that information on one other cloud supplier with out the complexity of manually managing information motion. Organisations may use information saved in several clouds to energy a single software or to simply migrate an software from one cloud supplier to a different as their wants evolve.

To meet the rising calls for of consumers — from startups, to enterprises, to governments throughout the globe — adopting and increasing their use of MongoDB Atlas to construct fashionable, clever functions, new accessible cloud areas embody:

  • New on AWS: MongoDB Atlas is obtainable in 31 AWS areas globally, now together with Canada West (Calgary) and Israel (Tel Aviv), and is built-in with a wide range of AWS companies corresponding to Amazon SageMaker and can be utilized with Amazon Bedrock to construct AI functions. Customers constructing functions with MongoDB Atlas on AWS may reap the benefits of AI-powered coding help utilizing Amazon CodeWhisperer, which is skilled on MongoDB code and greatest practices via a collaboration between AWS and MongoDB. Customers that should meet regulatory necessities for public sector workloads can run MongoDB Atlas within the AWS GovCloud area for mission-critical functions.
  • New on Google Cloud: MongoDB Atlas is obtainable in 38 Google Cloud areas globally, now together with Germany (Berlin), and is built-in with a number of Google Cloud companies, together with BigQuery and Vertex AI for constructing AI-powered functions. For MongoDB clients in authorities or regulated industries that need to reap the benefits of Google Cloud companies however run workloads with essentially the most delicate information, MongoDB Enterprise Advanced is now accessible on Google Distributed Cloud Hosted (GDCH), and MongoDB is a most popular accomplice for the answer. MongoDB Enterprise Advanced on GDCH gives clients an air-gapped surroundings in a non-public cloud for delicate workloads that should meet essentially the most stringent information safety and privateness necessities — whereas profiting from the efficiency, reliability, and extremely versatile doc information mannequin MongoDB clients anticipate.
  • New on Microsoft Azure: MongoDB Atlas is obtainable in 48 Microsoft Azure areas globally — now together with Israel Central (Tel Aviv), Italy North (Milan), and Poland (Warsaw) — and is built-in with a number of Microsoft Azure companies, together with Microsoft Fabric and can be utilized with Azure OpenAI and Microsoft Semantic Kernel for constructing AI-powered functions. MongoDB Atlas Online Archive and Atlas Data Federation are additionally now typically accessible on Microsoft Azure, permitting clients to routinely tier Atlas databases to essentially the most cost-effective cloud object storage possibility whereas retaining the power to question information, together with a seamless strategy to learn and write information from Atlas databases and cloud object shops. This dramatically simplifies how clients can generate datasets from MongoDB Atlas to feed downstream functions and methods that leverage cloud storage. MongoDB Atlas Online Archive and Atlas Data Federation are typically accessible on AWS and will likely be typically accessible on Google Cloud later this yr.

International Data Corporation (IDC) is the premier world supplier of market intelligence, advisory companies, and occasions for the data know-how, telecommunications, and shopper know-how markets.

Lara Greden, analysis director, Platform as a Service at IDC, mentioned: “With the pervasiveness of generative AI, it is critical that organisations choose cloud-based technology partners that offer them the flexibility needed to innovate and get new application experiences to market quickly.

“Organisations need to be able to use the best tools from cloud providers to meet their specific needs, and platforms like MongoDB Atlas and its multi-cloud reach help make that possible. As the growth in deployment of cloud-native applications continues, companies that want to gain a competitive edge must be strategic about their choice of platforms that can both work across different types of data and with different cloud providers.”

For organisations that should meet native regulatory compliance, information privateness, or low-latency software necessities, world clusters on MongoDB Atlas can geographically partition databases throughout cloud suppliers to higher management the place all or some information resides. With only a few clicks, MongoDB Atlas gives really useful world cluster configurations and locations related information close to servers in particular places around the globe to ship excessive efficiency whereas assembly an organisation’s software necessities. By defining a geographic location for partitioned information, organisations utilizing world clusters on MongoDB Atlas are in a position to extra simply fulfill compliance and privateness measures with out buying and selling off efficiency. To get began, go to mongodb.com/cloud/atlas/multicloud-data-distribution.

Along with offering versatile choices for information governance and the broadest selection of obtainable cloud areas for its developer information platform, MongoDB additionally affords on-premises, edge location, and hybrid cloud choices with MongoDB Atlas for the Edge to construct, deploy, and run fashionable functions that meet finish customers wherever. To get began, go to mongodb.com/use-cases/atlas-for-the-edge.

Millions of builders and tens of hundreds of consumers throughout industries — together with Cathay Pacific, Cisco, GE Healthcare, Intuit, Toyota Financial Services, and Verizon — depend on MongoDB Atlas day by day to innovate extra shortly, effectively, and cost-effectively for nearly each use case throughout the enterprise, together with multi-cloud workloads:

Monoova is a fast-growing Australian fintech firm, offering real-time cost options to companies.

Nicholas Tan, CTO at Monoova, mentioned: “Our multi-cloud approach is pretty unique in the current financial services landscape, and this is what has made Monoova one of the first financial services organisations to align with the new CPS230 compliance framework in Australia, along with ensuring compliance and resilience in an environment heavily reliant on third parties.

“Working with MongoDB has been a game changer because it means we were able to quickly scale up at a fraction of the person resources required, saving us from recruiting a full team with highly specialised skills if we had to take on all the multi-cloud work in-house.”

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Tags: MongoDB, areas

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