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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 the speed and scale for continuous iteration.

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.

Explore Architecture Center

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

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

Reliability

Ensure data reliability and minimize downtime with MongoDB Atlas by implementing fault tolerance and robust recovery mechanisms. Key features include implementing clusters as replica sets, continuous cloud backups for point-in-time recovery and multi-region resilience.

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Cost optimization

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

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60xfaster dev 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

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60xfaster dev 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

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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

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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

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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

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Atlas Architecture Center

Explore best practices and insights to design well-architected Atlas environments that optimize for governance, security, automation, and more.

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