MongoDB Expands Global Availability of MongoDB Atlas to Six Additional Cloud Regions
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Insights
The recent expansion of MongoDB Atlas to additional cloud regions is a strategic move to capture a larger market share within the cloud services industry. The ability to offer data residency and meet specific regulatory requirements is crucial for attracting enterprise clients, particularly those in industries such as finance, healthcare and government, which are subject to strict data sovereignty laws. Furthermore, the integration with popular cloud services like AWS SageMaker, Google BigQuery and Microsoft Azure's AI tools positions MongoDB as a versatile platform for companies looking to leverage the latest AI technologies.
From a market perspective, the expansion to 117 regions is significant as it denotes MongoDB's commitment to global accessibility and performance optimization. By reducing latency and providing high availability, MongoDB Atlas is likely to see increased adoption rates, potentially leading to higher revenue growth. However, the cost associated with such an expansion could impact short-term profitability, an aspect that investors should monitor in the company's forthcoming financial statements.
MongoDB's announcement could be a positive signal for investors, as the company's NASDAQ: MDB stock could be influenced by the perceived increase in competitive advantage and potential for revenue growth. The expansion and integration with major cloud services are likely to improve the company's market positioning against competitors like Amazon DynamoDB or Google Firestore. Additionally, the emphasis on multi-cloud clusters and seamless data movement aligns with the growing trend of hybrid cloud environments, which is a market differentiator that could attract a diverse customer base.
Investors should also consider the long-term financial implications of MongoDB's strategy. The increased operational costs of supporting more regions must be balanced against the anticipated additional revenue from new and existing customers scaling their operations. The company's ability to effectively monetize these investments through upselling and cross-selling will be critical in evaluating its future financial health.
Technologically, the expansion of MongoDB Atlas into additional cloud regions enhances the platform's resilience and flexibility, which is essential for modern, data-driven applications. The focus on multi-cloud capabilities is a response to the growing demand for interoperability and freedom from vendor lock-in, a significant concern for many organizations. This approach allows developers to build applications that can leverage the best features from multiple cloud providers, which could lead to innovative use cases, particularly in the realm of artificial intelligence and machine learning.
By facilitating easier migration between clouds and providing a consistent experience across different providers, MongoDB is positioning itself as a go-to database solution for cloud-native development. The availability of Atlas on services like AWS GovCloud and Google Distributed Cloud Hosted also indicates a targeted approach to meet the needs of government and highly regulated industries, which are areas of considerable growth in cloud computing.
MongoDB Atlas—the most widely available cloud-based developer data platform in the world—now available in 117 regions across major cloud providers
MongoDB Atlas provides tens of thousands of customers the performance, resilience, security, and flexibility modern applications require
"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," said Sahir Azam, Chief Product Officer at MongoDB. "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 modernizing 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 choice of available cloud regions, multi-cloud clusters on MongoDB Atlas give customers the ability to combine different services from AWS, Google Cloud, and Microsoft Azure to build, deploy, and run modern applications. For example, with a MongoDB Atlas multi-cloud cluster, organizations can use data from an application running on a single cloud provider and process that data on another cloud provider without the complexity of manually managing data movement. Organizations can also use data stored in different clouds to power a single application or to easily migrate an application from one cloud provider to another as their needs evolve.
To meet the growing demands of customers—from startups, to enterprises, to governments across the globe—adopting and expanding their use of MongoDB Atlas to build modern, intelligent applications, new available cloud regions include:
- New on AWS: MongoDB Atlas is available in 31 AWS regions globally, now including Canada West (Calgary) and
Israel (Tel Aviv ), and is integrated with a variety of AWS services such as Amazon SageMaker and can be used with Amazon Bedrock to build AI applications. Customers building applications with MongoDB Atlas on AWS can also take advantage of AI-powered coding assistance using Amazon CodeWhisperer, which is trained on MongoDB code and best practices through a collaboration between AWS and MongoDB. Customers that must meet regulatory requirements for public sector workloads can run MongoDB Atlas in the AWS GovCloud region for mission-critical applications. - New on Google Cloud: MongoDB Atlas is available in 38 Google Cloud regions globally, now including
Germany (Berlin ), and is integrated with several Google Cloud services, including BigQuery and Vertex AI for building AI-powered applications. For MongoDB customers in government or regulated industries that want to take advantage of Google Cloud services but run workloads with the most sensitive data, MongoDB Enterprise Advanced is now available on Google Distributed Cloud Hosted (GDCH), and MongoDB is a preferred partner for the solution. MongoDB Enterprise Advanced on GDCH provides customers an air-gapped environment in a private cloud for sensitive workloads that must meet the most stringent data security and privacy requirements—while taking advantage of the performance, reliability, and highly flexible document data model MongoDB customers expect. - New on Microsoft Azure: MongoDB Atlas is available in 48 Microsoft Azure regions globally—now including Israel Central (
Tel Aviv ), Italy North (Milan ), andPoland (Warsaw )—and is integrated with several Microsoft Azure services, including Microsoft Fabric and can be used with Azure OpenAI and Microsoft Semantic Kernel for building AI-powered applications. MongoDB Atlas Online Archive and Atlas Data Federation are also now generally available on Microsoft Azure, allowing customers to automatically tier Atlas databases to the most cost-effective cloud object storage option while retaining the ability to query data, along with a seamless way to read and write data from Atlas databases and cloud object stores. This dramatically simplifies how customers can generate datasets from MongoDB Atlas to feed downstream applications and systems that leverage cloud storage. MongoDB Atlas Online Archive and Atlas Data Federation are generally available on AWS and will be generally available on Google Cloud later this year.
International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. "With the pervasiveness of generative AI, it is critical that organizations choose cloud-based technology partners that offer them the flexibility needed to innovate and get new application experiences to market quickly," said Lara Greden, Research Director, Platform as a Service at IDC. "Organizations 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 organizations that must meet local regulatory compliance, data privacy, or low-latency application requirements, global clusters on MongoDB Atlas can geographically partition databases across cloud providers to better control where all or some data resides. With just a few clicks, MongoDB Atlas provides recommended global cluster configurations and places relevant data near servers in specific locations around the world to deliver high performance while meeting an organization's application requirements. By defining a geographic location for partitioned data, organizations using global clusters on MongoDB Atlas are able to more easily satisfy compliance and privacy measures without trading off performance. To get started, visit mongodb.com/cloud/atlas/multicloud-data-distribution.
Along with providing flexible options for data governance and the broadest choice of available cloud regions for its developer data platform, MongoDB also offers on-premises, edge location, and hybrid cloud options with MongoDB Atlas for the Edge to build, deploy, and run modern applications that meet end users anywhere. To get started, visit mongodb.com/use-cases/atlas-for-the-edge.
Customers welcome MongoDB Atlas global region expansion
Millions of developers and tens of thousands of customers across industries—including Cathay Pacific, Cisco, GE Healthcare, Intuit, Toyota Financial Services, and Verizon—rely on MongoDB Atlas every day to innovate more quickly, efficiently, and cost-effectively for virtually every use case across the enterprise, including multi-cloud workloads:
Monoova is a fast-growing Australian fintech company, providing real-time payment solutions to businesses. "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 organizations to align with the new CPS230 compliance framework in
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This press release includes certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements concerning expansion of global availability of MongoDB Atlas. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "project," "will," "would" or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact the COVID-19 pandemic may have on our business and on our customers and our potential customers; the effects of the ongoing military conflicts between
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