Higher performance for transactional and AI-powered applications. With MongoDB 9.0, run more users, transactions, and AI workloads with higher throughput and faster critical operations.
MongoDB Atlas
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Unlock AI’s full power
SQL databases lack native vector search and indexing, leaving modern AI solutions struggling with text-heavy documents. Maintaining separate SQL and vector systems is costly and complex. MongoDB provides native vector search with crucial hybrid support, simplifying your architecture and cutting costs. It's the ideal backend for AI/ML apps and recommendation engines.
More headroom for demanding workloads
MongoDB’s latest release delivers up to 2x higher throughput on large instances, up to 35% faster find-one queries, up to 30% faster update-one queries, and 20% higher transactional throughput. Get even greater control to optimize database performance during unpredictable spikes and sustained periods of high demand, ensuring consistent application behavior.
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Secure from the start
MongoDB Atlas includes built-in security controls to help protect your data, including IP access lists, private networking options, role-based access controls, encryption in transit and at rest, auditing, and advanced capabilities such as Queryable Encryption.
Fully automated and elastic
MongoDB Atlas automates infrastructure provisioning, deployment, scaling, and many ongoing database operations so teams can focus on building applications. Scale resources in just a few clicks, adapt to changing workload demands, and benefit from a cloud database designed for efficiency, elasticity, and operational simplicity as your applications grow.
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Level Up Your MongoDB Skills
MongoDB Skill Badges are focused credentials that help you quickly learn how to use MongoDB in 60 to 90 minutes.
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