SEATTLE—July 31, 2025—Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced it is expanding its serverless database portfolio with the general availability of Amazon DocumentDB Serverless (with MongoDB compatibility), a fully managed, cost-effective document database service. Serverless databases allow customers to adjust capacity automatically based on demand, making them ideal for highly variable workloads like artificial intelligence (AI) agents. That is why more than half of all Fortune 100 companies use an AWS serverless database, giving them effortless scalability, elasticity, and streamlined operations.
- Using Amazon DocumentDB Serverless, customers can reduce costs by up to 90% versus the typical approach of provisioning a database for peak capacity.
- Amazon DocumentDB Serverless continuously monitors database activity and scales up to millions of requests per second to provide just the right amount of capacity to meet demand.
- Over the last three years, AWS serverless database customers have more than doubled as they look to manage unpredictable workloads and provide a solid foundation to take advantage of AI agents.
- Customers are running their most mission-critical operations on AWS serverless databases, with exabytes of data stored across these services.
- AccelByte, AppsFlyer, Atlassian, Autodesk, Canva, Elliptic, Genesys, Greenway Health, Intuit, Lyft, Rippling, Samsung, Smartsheet, SmugMug, Snap, Yum Brands, and Zoom are among the million plus customers using AWS serverless databases.
"AWS has transformed how customers build and scale their applications by making database management effortless with serverless," said G2 Krishnamoorthy, vice president of Databases at AWS. "The rise of agents has put unprecedented demands on databases, magnifying the importance of data as a differentiator for customers. Our serverless databases provide customers with a foundation capable of supporting these more dynamic and unpredictable workloads, so they can seamlessly scale to meet demands, reduce operational costs by always deploying the right amount of capacity, and simplify their operations.”
AWS launched its first serverless database, Amazon DynamoDB, in 2012, providing single-digit millisecond performance at any scale with zero infrastructure management. Since then, AWS has continued to grow its serverless database portfolio as customers realize to support customers’ most critical workloads—from processing financial transactions with Amazon Aurora DSQL to powering fraud detection with Amazon Neptune Serverless.
Serverless databases, like Amazon DocumentDB Serverless, are particularly useful for agents. This is because agent workflows are hard to predict and can rapidly increase in activity at a moment’s notice, only to decrease just as fast. For example, a travel company could deploy an agent that helps with planning trips. Each individual customer visiting the company’s website may have their own interactions with an agent, and every request from a customer could trigger multiple interactions with a database by that agent. These interactions make resource planning exponentially harder, particularly when coupled with spikes in activity, like a busy travel season, where tens of thousands of customers may use their own agent all at the same time. By using a serverless database, customers can easily scale their workloads to have the right amount of capacity at the right time, significantly simplifying their operations and helping agents access the information they need to quickly respond to user questions.
Now, with Amazon DocumentDB Serverless, customers no longer need to provision or manage database capacity for their document workloads. Document databases are useful for everything from storing player profile details for a video game to managing a catalog of thousands of products for an ecommerce store. Customers who need to manage multiple databases on behalf of their end users, like a software-as-a-service vendor with individual databases for potentially hundreds of thousands of customers, can also benefit from the automatic scaling and cost-effective pricing of Amazon DocumentDB Serverless. With support for the same MongoDB-compatible APIs and capabilities as Amazon DocumentDB, including vector search and multi-Availability Zone deployments, Amazon DocumentDB Serverless gives customers even greater choice and convenience for building and scaling modern applications.
Customers of all sizes and across industries are using AWS serverless databases
Companies ranging from today’s largest enterprises and government departments to the fastest-growing startups are using serverless databases to reduce operational overhead, simplify capacity planning, and dynamically scale as their workloads evolve.
AccelByte is a game development platform that supports cross-platform, storage, monetization, social, matchmaking, and more. “Unpredictable player surges during a game launch or special event create massive scaling challenges,” said Tony Fu, vice president of Engineering at AccelByte. “Amazon DocumentDB Serverless is exactly what our team needs to adapt to dramatic shifts in player usage, ensuring we can deliver reliable, cost-effective scaling to meet the needs of our customers and provide a delightful experience to millions of players worldwide. Now we can eliminate capacity planning for our database workloads and allow our engineers to focus on feature development.”
AppsFlyer is a global mobile marketing analytics and attribution platform. "Amazon DynamoDB requires zero infrastructure management, enabling our developers to focus on business problems rather than infrastructure, which aligns with our goal of increasing development efficiency," said Ruli Weisbach, executive vice president of Research and Development at AppsFlyer. “Its serverless architecture, combined with on-demand capacity mode and built-in resiliency features, has transformed our operations. We have reduced database provisioning time from days to minutes, cut incident recovery time by approximately 50% as the database is no longer the bottleneck, and gained point-in-time recovery that significantly reduces business risk out-of-the-box."
Elliptic is the leading provider of digital asset data and intelligence for crypto compliance, risk management and forensic investigations. “We chose DynamoDB as part of our infrastructure because it allows our engineering team to focus on delivering real-time solutions for our customers rather than managing infrastructure,” said Joey Capper, director of Engineering at Elliptic. “The serverless nature of DynamoDB enables Elliptic to process billions of transactions each month, automatically scaling according to demand, and guaranteeing 99.99% uptime for our customers, which is critical in managing compliance and risk in the digital asset industry.”
Genesys is a leader in AI-powered experience orchestration that helps organizations engage with customers across channels and empower employees in the contact center and beyond. “Amazon ElastiCache powers high-throughput, low-latency storage for our cloud customer experience platform, enabling millions of customer interactions per day,” said Rob Gevers, chief architect at Genesys. “With ElastiCache Serverless, we get performance without the overhead of provisioning instances, choosing specific configurations, and planning around scaling demands. This reduces administrative overhead, while giving us a meaningful leap in stability and scalability to more easily adapt to the needs of our growing and respond more quickly to variable usage.”
Greenway Health (Greenway) develops electronic health record solutions for ambulatory medical practices, such as doctors’ offices and other outpatient services, so they can securely store vast amounts of sensitive patient data. “Greenway has been a user of multiple AWS serverless solutions including Amazon Aurora Serverless, DynamoDB, Amazon EMR, and Amazon MSK,” said Philip Nick, vice president and distinguished engineer at Greenway. “By leveraging AWS serverless solutions, we have significantly reduced both our engineering overhead and infrastructure costs. As we explore Amazon DocumentDB Serverless for our core data pipeline that powers our agentic AI initiatives, we're excited about the potential to further improve operational efficiencies while maintaining our focus on improving patient care outcomes in collaboration with the AWS healthcare team.”
Intuit is the global financial technology platform company that serves approximately 100 million consumer and business customers with TurboTax, Credit Karma, QuickBooks, and Mailchimp. "Looking to reduce operational overhead and improve our database costs, we decided to utilize Amazon Aurora Serverless,” said Rajesh Saluja, principal data engineer at Intuit. “We get the benefits of automatic scaling without compromising on our requirement for high availability and disaster recovery. We use Aurora Serverless in both our production and non-production environments, and it has helped us save approximately 55% on our database provisioning costs.”
Rippling is a workforce management system that eliminates the friction of running a business, combining human resources (HR), information technology (IT), and finance apps on a unified data platform. "Rippling processes millions of HR, IT, and finance transactions daily for over 20,000 businesses," said Albert Strasheim, chief technology officer at Rippling. "Amazon DocumentDB Serverless will help us streamline everything from payroll processing to expense management through automatic scaling that keeps costs low during quieter periods, while providing reliable performance during peaks. As we look to integrate agents throughout our platform, serverless databases give us a flexible foundation to adapt to the evolving needs of this emerging technology.”
Samsung SmartThings is a home automation platform enabling customers to easily connect and control smart home devices. “Amazon ElastiCache is a critical piece of our architecture to process a high volume of home automation requests daily, and we need to ensure that the cache always has adequate capacity,” said Khang Nguyen, vice president of Cloud Platforms at SmartThings. “The difficulty in right-sizing for sudden and unpredictable traffic changes often meant that we ended up overprovisioning. With ElastiCache Serverless, we no longer worry about cluster scaling and optimizing its costs—it just works.”
Smartsheet Inc. is a cloud-based collaboration and work management platform that empowers companies to scale and accelerate innovation. "DynamoDB is an essential part of our technology stack, powering thousands of tables across our production services," said Ryan Kennedy, principal engineer at Smartsheet. "Its serverless design makes it easy to use and requires zero infrastructure to manage, while providing exceptional reliability, scalability, speed, and cost-effectiveness. Its performance and flexibility have played a crucial role in helping us scale efficiently to deliver a world-class product to our customers.”
SmugMug is a hosting and ecommerce platform for photographers. “With Amazon ElastiCache Serverless, we can instantly scale as our application traffic increases by creating a serverless cache and connecting to a single endpoint,” said Don MacAskill, CEO and chief geek at SmugMug and Flickr. “We no longer need to worry about managing the complexities of proxies, availability, scaling, upgrades, or data replication across multiple Availability Zones. ElastiCache Serverless enables our developers to get started quickly, get to production faster, and operate at our scale without any manual intervention.”
To learn more, visit:
- The AWS Blog for details on today’s announcement.
- The Amazon DocumentDB page to learn more about the service.
- The Amazon DocumentDB Serverless page to learn more about this capability and how companies are using it.
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