MongoDB Atlas

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.
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MongoDB Atlas

  • Work with your data as codeDocuments in MongoDB map directly to objects in your programming language. Modify your schema as your apps grow over time.
  • Focus on building, not managingLet MongoDB Atlas take care of the infrastructure operations you need for performance at scale, from always-on security to point-in-time recovery.
  • Simplify your data dependenciesLeverage application data for full-text search, real-time analytics, rich visualizations and more with a single API and minimal data movement.

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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.
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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.

Breakthrough security innovations

MongoDB Queryable Encryption is an industry-first in-use encryption technology that allows customers to run expressive queries on encrypted data without decrypting it. Queryable Encryption also supports prefix, suffix, and substring searches, enabling more flexible text searches on encrypted data.
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Consistent across clouds

MongoDB Atlas is the only modern, multi-cloud data platform available on all three major cloud providers, spanning 125+ regions. Build on AWS, Azure, or Google Cloud with a consistent application model and core MongoDB capabilities across deployment options.
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