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Amazon DocumentDB

What is Amazon DocumentDB Serverless?

Amazon DocumentDB Serverless is an on-demand, auto scaling configuration for Amazon DocumentDB (with MongoDB compatibility). It automatically scales capacity up or down in fine-grained increments based on your application's demand, offering up to 90% cost savings compared to provisioning for peak capacity. For applications with variable workloads, Amazon DocumentDB Serverless offers simplified resource management, with no upfront commitments or additional costs, so you only pay for the database capacity used. Amazon DocumentDB Serverless provides the same MongoDB compatible-APIs and capabilities as Amazon DocumentDB, including read replicas, Performance Insights, and I/O-Optimized storage. It is ideal for a broad set of applications with variable and multi-tenant workloads. Amazon DocumentDB Serverless is available starting with Amazon DocumentDB 5.0 for both new and existing clusters.

Use cases

For highly variable or unpredictable workloads, you no longer need to over-provision for peak capacity and avoid overspending on resources you don't constantly use. You can avoid provisioning to average capacity, which can cause performance problems and a poor user experience. This is suitable for use cases such as auditing, seasonal promotions, surges during peak business hours, or agentic workflows that are invoked at unpredictable times.

Software-as-a-service (SaaS) applications vendors no longer need to manage capacity for individual customers as Amazon DocumentDB Serverless can manage capacity across multi-tenant clusters or enterprise-wide database fleets.

For deploying new applications where instance sizing is not yet determined, you can set up clusters with one or many instances and Amazon DocumentDB Serverless will autoscale to the capacity your application needs.
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AccelByte is a game development platform that supports cross-platform, storage, monetization, social, matchmaking, and more.
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.

Tony Fu

Vice president of Engineering, AccelByte
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Greenway Health (Greenway) develops electronic health record (EHR) solutions for ambulatory medical practices, such as doctors’ offices and other outpatient services, so they can securely store vast amounts of sensitive patient data.
As we explore Amazon DocumentDB serverless for our core data pipeline that powers 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.

Philip Nick

Vice President and Distinguished Engineer, Greenway Health
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Kaltura’s mission is to create and power AI-infused hyper-personalized video experiences that boost customer and employee engagement and success.
As a beta customer, we ran Amazon DocumentDB Serverless against the dynamic traffic waves of Kaltura’s large virtual events. The service scaled up when attendance spiked, contracted when sessions ended, and kept latency consistent throughout.

Omri Ceisler

DevOps Manager, Kaltura
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Rippling is a workforce management system that eliminates the friction of running a business, combining HR, IT, and Finance apps on a unified data platform.
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.

Albert Strasheim

Chief Technology Officer, Rippling