Sydney, Australia – MongoDB has announced MongoDB 9.0 and Atlas Infinite, a new deployment option within its Atlas cloud data platform designed to address the performance and scalability requirements of modern applications and artificial intelligence (AI) workloads.
MongoDB 9.0 is generally available, while Atlas Infinite has entered public preview. The announcements were made at MongoDB’s event in New York City.
MongoDB said Atlas Infinite is designed to address infrastructure scalability requirements by separating compute from storage, allowing the two resources to scale independently. The platform allows companies to scale from prototype to petabyte on a single foundation without requiring application changes.
The company said the architecture provides workloads, including agentic and non-agentic applications, with greater elasticity, responsiveness and retrieval accuracy when working with real-time operational data.
“Balancing MongoDB’s data model flexibility with true elasticity has helped Okta avoid over-provisioning capacity,” said Andrew Yu, VP of Engineering at Okta.
“Atlas Infinite will help empower our teams to automatically scale with unpredictable authentication traffic in real time without paying for idle resources, improving efficiency across our identity platforms,” Yu continued.
MongoDB 9.0 is the database platform’s latest major release and underpins MongoDB Atlas, Enterprise Advanced and Community Edition.
According to MongoDB, the release delivers up to 35% faster find-one queries, up to 30% faster update-one queries and up to twice the throughput on large instances compared with MongoDB 8.0. The company also reports up to 20% higher throughput for transactional workloads.
“The growing use of AI agents is causing applications to use and store more data,” said Ben Cefalo, Chief Product Officer, Core Products at MongoDB.
“MongoDB 9.0 hardens the foundation that more than 70,000 customers already trust with extreme performance, making it significantly faster at scale for mission-critical transactional workloads and AI-powered applications. Meanwhile, Atlas Infinite delivers the elasticity, responsiveness, and accuracy that agentic workloads demand, so enterprises never have to stretch legacy architecture to keep up,” Cefalo continued.
The company has also expanded security capabilities in MongoDB 9.0. Queryable Encryption now supports prefix, suffix and substring searches on encrypted data, allowing organisations to query sensitive information without decrypting it. MongoDB said expanded private networking capabilities are intended to support deployments across complex enterprise environments.
The release also includes Intelligent Workload Management, which MongoDB said can protect database clusters when they become overloaded and allow short-running operations to continue during periods of unpredictable demand.
Enhanced backup, restore and recovery capabilities are designed to support application availability and recovery, while expanded OpenTelemetry support provides additional visibility into application and database performance.
“At Coinbase, trading volume can spike in minutes, and our systems have to scale in real time, or customers feel it,” said Krishnan Seshadrinathan, VP of Engineering at Coinbase.
“Intelligent Workload Management gives us confidence that our clusters will stay responsive during peak trading windows,” Seshadrinathan continued.
Atlas Infinite targets variable workloads
Atlas Infinite is being introduced as a second deployment option within MongoDB Atlas alongside the existing Atlas offering, which the company is renaming Atlas Core.
MongoDB said Atlas Infinite is designed to absorb sudden increases in application traffic without requiring customers to provision capacity for peak demand. Its separation of compute and storage allows each to scale independently, while the same underlying foundation can support workloads ranging from early-stage prototypes to petabyte-scale deployments.
The company said adopting Atlas Infinite does not require application code changes, a separate system or a disruptive migration. It uses the same drivers, APIs and operational tooling as Atlas Core.
MongoDB cited an example involving Brazilian fintech PicPay, which it said sustained four times its normal peak traffic for two hours on Atlas Infinite without failures.
“Atlas Infinite enables us to grow our data footprint with greater operational simplicity with its order-of-magnitude faster backups and decoupled storage architecture. For a platform that has to be ready for extreme traffic spikes, that’s exactly the kind of scalability we need to handle more transactions, at greater speed,” said Erick Schroder, Database Reliability Engineer at PicPay.
MongoDB said internal testing using MongoDB 9.0 showed Atlas Infinite delivering 189% more throughput per dollar than Atlas Core. Icon Solutions is also using the platform, with MongoDB reporting that the company processes up to 55% more transactions per second without application changes.
The platform also introduces a pricing model based on actual compute and storage consumption, rather than capacity provisioned for peak demand.
Atlas Infinite is currently available in public preview on AWS, with support for additional cloud providers and Atlas for Government planned for the future.
Australian engineering team contributes to Atlas Infinite
MongoDB’s Australian engineering operation has grown to more than 70 engineers, with the team working on core architectural technologies underpinning the company’s data platform.
The Sydney-based team has contributed to Atlas Infinite and other MongoDB technologies, including bespoke AI coding tools designed to help organisations modernise legacy data architectures. The team is also responsible for MongoDB’s global storage engine, which underpins the company’s database products.
MongoDB said the work carried out by its Australian engineering team supports its more than 70,000 customers globally and the millions of developers using its platform.
“Australian organisations can only work with AI safely and reliably if their underlying data infrastructure is built for continuous, real-time adaptation at a massive scale,” said Mick Graham, VP Engineering at MongoDB.
“That is a monumental technical hurdle, and overcoming it demands elite, hyper-specialised engineering talent. We’re so proud of the uniquely skilled team we have in Sydney. Atlas Infinite is the latest example of the consistently cutting-edge data-layer innovation our local team delivers,” Graham continued.
MongoDB also announced Atlas Agent Engine alongside the two releases. The company said MongoDB 9.0 provides the underlying database foundation, Atlas Infinite is designed to provide additional scalability, and Atlas Agent Engine is designed to enable AI agents to operate on top of real-time data with governance and grounding.
