Google Cloud and MongoDB Atlas: Maximizing the data and the people that make your business valuable

Google Cloud and MongoDB Atlas give businesses the smart infrastructure, sophisticated data intelligence and analytics, and developer-centric tools that power modern, data-driven cloud applications. Our partnership continues to deliver new and better ways to lead with software—and leave behind the cost, complexity, and risk associated with legacy environments.

MongoDB Atlas runs on Google Cloud as a fully managed, distributed, cloud-native database service. Businesses and their software teams get all of the capabilities that make MongoDB one of the industry’s most powerful and versatile database systems— minus the time and effort spent on provisioning, management, and database administration tasks.

Working together, Google Cloud and MongoDB Atlas empower developers to build innovative, data-driven applications that can give businesses their competitive advantage. It all begins with cloud- native compute, networking, and storage infrastructure that scales effortlessly to support even the most demanding and critical business applications. Google Cloud also brings advanced intelligence and analytics capabilities, such as Google BigQuery, that transform MongoDB Atlas into a source of data-driven business insights. Google Cloud works alongside MongoDB to keep developers productive and engaged with a powerful, comprehensive set of APIs, automated maintenance and management tools, and other ways to save time.

Google Cloud and MongoDB Atlas empower developers to build innovative, data-driven applications that can give businesses their competitive advantage.

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Google Cloud + MongoDB Atlas = Smart infrastructure designed to maximize value

Combined competitive advantages

Customer success:

Forbes: Support for digital innovation

Forbes needed a database that could support the media brand’s record online traffic and aggressive digital expansion plans. MongoDB Atlas on Google Cloud gave the Forbes team a foundation for growth: a fully-managed database designed to support digital innovation, paired with reliable, highly scalable, cloud-native infrastructure—without the cost, complexity, and application development constraints of legacy database systems.

Boxed: Scaling up ecommerce

Boxed, a leading online wholesaler of consumer packaged goods, faced a make-or-break challenge to keep up with surging online demand. Boxed turned to MongoDB Atlas on Google Cloud for a database and infrastructure that meet the demands of modern ecommerce: scaling dynamically, supporting first-rate customer experiences, and powering real-time visibility and insights—combined with the advantages of a fully-managed, cloud-native solution.

Global infrastructure built for scale, speed, resilience, and business-critical availability

Developer-centric features that build on Google Cloud's achievements in open source, Kubernetes, cybersecurity, and other areas

Intelligence and analytics that unlock new sources of value and opportunity within your business data

A fully managed cloud database designed to provide world-class reliability, redundancy, and data integrity

A modern document database that gives developers greater control and supports fast, efficient, flexible software development

Uncompromising performance plus massive scalability, making even the biggest and most diverse datasets manageable

Build robust, reliable, data-driven applications that can give your business a lasting competitive edge.

Set up your developers for success with tools that keep them engaged, productive, and laser-focused on projects that matter to your business.

Deploy AI/ML solutions and advanced analytics that deliver faster, deeper, and more accurate insights.

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Integrations and automation that make cloud infrastructure scalable, reliable, and secure

Google Cloud and MongoDB Atlas together deliver cloud infrastructure that’s smart, resilient, and always dependable. Google Cloud’s Live Migration service and ability to resize persistent disks, for example, all but eliminate the need for planned system downtime. And with features such as virtual machine optimization and unlimited CPU auto-scaling in Google Compute Engine environments, many businesses get flawless crunch-time performance— with flat average response times, minimal errors, and no spikes. MongoDB Atlas takes the same uncompromising approach to reliability and performance. Distributed fault tolerance and automated data recovery, cross- region and cross-cloud failover support, and fully managed backups allow users to configure, restore, and query point-in-time backups with just a few clicks, and to set Recovery Point Objectives as low as one minute.

MongoDB Atlas can also scale databases up, down, or out instantly to keep applications running smoothly through even the most unpredictable and dynamic situations—and to make overprovisioning a thing of the past. This degree of dynamic scalability also makes MongoDB Atlas and Google Cloud ideal for enterprises

embarking upon mainframe modernization projects. Migrating away from aging, expensive mainframe systems to modern, cloud-native data stores and infrastructure frees these companies to think about technology as a source of opportunity and innovation—and not as a source of cost, complexity, and risk.

The MongoDB Atlas Performance Advisor gives teams powerful performance optimization tools, such as index and schema suggestions, and the ability to isolate analytical workloads, combined with real-time visibility into database metrics.

Sophisticated analytics that make businesses more intelligent

Software teams can connect Google Cloud’s AI/ML services easily to MongoDB Atlas. Features such as Google AutoML and Natural Language API make it easier than ever to form these connections quickly and easily, without specialized training or knowledge.

MongoDB Atlas, with its ability to manage massive stores of structured and unstructured data, also works well with BigQuery, making it easy to analyze multi- petabyte datasets—with queries that once took months now running in a matter of minutes. And Google Cloud’s fully managed, serverless

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infrastructure allows businesses to focus on producing answers rather than handling infrastructure performance and scalability. Businesses are also using MongoDB Atlas and BigQuery to build operational data stores that combine real-time performance and scalability with intelligent analytical capabilities. These data stores can serve a wide range of constituencies—from direct consumers to data science teams— while increasing an enterprise’s ROI from its cloud-native data management strategy.

Developer-friendly security features, including default encryption for all data in transit and support for application-level encryption, and offerings such as its Cloud DLP tool.

Google's track record as one of the most prolific Open Source contributors, which includes creating more than 2,000 open source projects during the last decade alone.

Google's achievements as the developer of Kubernetes, and the popularity of Google Kubernetes Engine among developers.

Tools and technology that keep development teams productive and passionate

A 2020 survey identified MongoDB as the "most wanted" database among software developers for the fourth year in a row.1 And more developers are finding reasons to choose Google Cloud as their preferred platform for running MongoDB Atlas:

AI/ML tools that are powerful yet practical and easy to use. These give developers faster and more reliable ways to integrate AI capabilities into their data-driven applications.

Many developers already give tool and platform choices considerable weight when they think about on-the- job satisfaction and view software as a strategic asset. Google Cloud and MongoDB Atlas lead by example with teams that build and manage data- driven, cloud-native applications.

3 1. Stack Overflow, 2020 Developer Survey

MongoDB is the top technology that developers most want to learn.

Learn more about Google Cloud and MongoDB Atlas, or get in touch to speak with us.

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