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Redefine your data architecture for the modern era

The AI era demands a new foundation. Move past rigid, fragmented architectures to a unified, flexible data platform that ensures speed and scale for continuous iteration.

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Architecture built for AI

AI models move fast. Your data shouldn't be what slows them down. Build on a data platform designed for flexible schemas and real-time intelligence.

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Beyond relational limits

Legacy systems slow your AI roadmap. Move past rigid schemas and manual scaling to a platform built for continuous innovation.

Rigid schemas block fast iteration

Relational databases were built for predictable, static data. AI development is experimental and fast. When models evolve, legacy systems force complex schema changes, migrations, and downtime. Don’t pause innovation to update a table.

Master schema design
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Automate horizontal scaling illustration

Scaling shouldn’t be a risk

Vertical scaling reaches its limits, and manual sharding adds operational burden for engineers. AI workloads demand systems that scale out automatically when demand spikes. MongoDB Atlas is a data platform that can handle the unpredictable nature of AI workloads.

Automate horizontal scaling

Stop patching your data stack

Stitching together separate databases for search, vectors, and transactions creates a fragmented architecture. Bolt-on engines and synchronization pipelines increase latency, complexity, and operational overhead. High-performance AI applications require a unified platform where data moves without friction.

Simply your architecture
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Atlas architecture

A framework for agility and performance
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Secure data integrity guardrails

Enforce robust security guardrails to ensure data integrity, protecting sensitive information and enabling appropriate access for authorized users. Key capabilities enable you to authenticate data, manage user permissions, deploy Queryable Encryption, support compliance, and audit system activity.

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Automate and optimize operations

Automate database infrastructure for efficient deployments and gain observability with MongoDB Atlas. Key features enable you to automate Atlas resources via infrastructure as code (IaC), streamline Kubernetes workflows, use the Atlas CLI, and connect to the Atlas Admin API to build faster.

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Scale for peak performance

Ensure low latency and high throughput with dynamic scaling to meet growing demand while avoiding over-provisioning and minimizing resource contention. Scale vertically and horizontally with complete flexibility, deploy across multiple regions and clouds, and easily monitor system performance.

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Robust data reliability

Ensure data reliability and minimize downtime with MongoDB Atlas by implementing fault tolerance and robust recovery mechanisms. Deploy clusters as replica sets, back up cloud data continuously for point-in-time recovery, and build resilience across multiple regions.

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Optimize cloud costs and performance

Enhance resource visibility and optimize settings for cost effectiveness while ensuring high performance and scalability. Key capabilities include dynamic scaling, cluster pausing, automated performance suggestions, and backup options with adjustable frequency and retention.

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60xfaster development cycles
AI AT BANKING SPEED
“Banking processes that once took days now run in seconds. Regression testing shrank from weeks to hours, powering AI-driven financial products once out of reach.”
Geoffroy de Ridder
Head of Technology, Lombard Odier
Read Story
60xfaster development cycles
AI AT BANKING SPEED
“Banking processes that once took days now run in seconds. Regression testing shrank from weeks to hours, powering AI-driven financial products once out of reach.”
Geoffroy de Ridder
Head of Technology, Lombard Odier
Read Story
1/10thmigration cost
AI-DRIVEN MODERNIZATION
“Modernizing our legacy databases allowed us to compete with fintechs. Cloud migration finished at a fraction of the expected cost, making AI-powered fraud detection a reality.”
Andrew Cresp
Chief Information Officer, Bendigo Bank
Read Story
15M+banking members served
MAINFRAME MODERNIZATION
“We found that MongoDB Atlas had a great way of structuring data that was so simple and easy to use for our developers.”
Rob Jackson
Head of Application Architecture, Nationwide
Read Story
7.2xfaster data ingestion
PERFORMANCE
“We need to be very agile in the way we build our solutions. That’s why we implemented a multi-cloud application platform strategy, and it’s another key reason why we chose MongoDB.”
Paramdeep Saini
Director of Architecture, Manulife
Read Story

Design for the next generation of data

AI requires more than a vector store. Use architectural blueprints to build a foundation for fluid scaling and real-time data intelligence.

Start building your well-architected foundation

Deploy a database built for the speed and scale of modern AI on MongoDB Atlas. Start for free and scale to any demand with a unified data platform.
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ARCHITECTED FOR YOUR SUCCESS
  • Multi-cloud scalability
  • Native vector search
  • Automated failover
  • Queryable Encryption
  • Cluster auto-scaling