AnnouncementBuilt for unpredictable AI demand: Atlas Infinite and MongoDB 9.0 are here. Read more > >>

AnnouncementMeet the intelligent data platform built for the AI era. Read more > >>

NewNow in public preview: Atlas Agent Engine, the secure way to run AI agents at scale. Read more > >>

Consolidate your data infrastructure and build for continuous change

Design a flexible, well-architected foundation for real-time applications, intelligent retrieval, and governed AI workloads without adding disconnected layers to your data architecture.

A well-architected foundation for real-time applications

Use the MongoDB Well-Architected Framework to design secure, reliable, efficient systems for live operational data, intelligent retrieval, and governed AI workloads.

Enterprise security and data privacy

Implement consistent security and governance for operational data, retrieved context, and AI workloads, including identity, access, encryption, policy enforcement, and auditability.

Streamline ops with intelligent automation

Standardize and automate the platform that supports operational data, retrieval, and AI workloads using infrastructure as code, APIs, and observability workflows that reduce manual handoffs.

Scale for peak performance

Design for responsive applications and retrieval by keeping operational data and the context applications need close to the workload, with scaling options for changing demand.

Unrivaled high availability and uptime

Design resilient systems for live application data and the state, memory, and decisions produced by AI workloads, with recovery mechanisms that support continuity across regions.

Maximize stack visibility and lower TCO

Evaluate the total cost of the data architecture, not only the database, but also separate search, vector, pipeline, and state-management layers. Consolidating related capabilities can reduce duplicated infrastructure and data movement to operate.

Architecture patterns for real-time and AI workloads

Explore solution blueprints that connect operational data, intelligent retrieval, and AI-driven action on MongoDB.

View Solutions Library

Open Finance Data Store

How to Build a Secure Open Finance Data Store

Discover how MongoDB Atlas powers open finance solutions. This architectural guide details how to build a secure, scalable data store using a flexible document model to integrate diverse, multi-bank JSON data and support compliance.

Unify Manufacturing Data With MongoDB Atlas

Centralize factory data with a unified namespace. See how to integrate ERP, MES, and sensor data to support predictive maintenance and AI initiatives.

Build Predictive Maintenance With MongoDB Atlas

Reduce downtime and costs with predictive maintenance. Learn how to unify real-time sensor data and AI-driven repair plans on MongoDB Atlas.

Power Unified Commerce With MongoDB Atlas

Break down silos to gain real-time inventory visibility. See how to unify diverse retail data and vector embeddings on a single data platform.

Earn your Architect Skills Badge

Validate your expertise in designing high-performance AI data architectures in 60-90 minutes.

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

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

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

>70%latency reduction in API

SCALABILITY

“Migrating to MongoDB Atlas has made the API faster and more stable. Overhead with ETL and Elasticsearch affected the performance of the API. This is something we don’t see anymore as Atlas handles both ends of this brilliantly.”

Jake Reeves
VP of Technical Operations, Orbweaver

Architect for Success

Master your data foundation with best practices for scaling, security, and performance, built on a well-architected framework for any workload.

Resilience: Replica sets

Use automated failover to ensure your data is always available while eliminating redundancy.

Reliability: High availability

Implement multi-region strategies for global uptime and infrastructure resilience.

Data modeling

Optimize schema design and patterns for high-performance, intelligent applications.

Performance: Indexing

Minimize query bottlenecks with advanced secondary and compound indexing strategies.

Reliability: Backups

Secure your critical data with point-in-time recovery and disaster recovery planning.

Scalability: Sharding

Learn horizontal scaling strategies to handle massive AI and transactional workloads.

Security: Authentication

Establish robust, enterprise-grade access control for your modern data architecture.

Security: Data encryption

Protect data in transit, at rest, and in use with modern Queryable Encryption.

Cost optimization

Balance performance and cost with smart cluster sizing and auto-scaling strategies.

Compliance

Atlas supports compliance with security standards such as GDPR, HIPAA, and SOC 2, providing trusted data protection for regulated industries.

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