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MONGODB ATLAS

# The database for dynamic, demanding software

AI depends on fluid, instantly accessible data, not fragmented silos. Consolidate structured and unstructured data—text, video, audio, time series, and more—into a single, flexible system.

Get StartedDocumentation

TRUSTED BY

## MongoDB Atlas
The modern database for any use case

Learn about the platform

Vector Search

Stream Processing

Operational

Transactional

Text Search

Analytical

Graph

Geospatial

### Vector Search Use Cases

MongoDB Atlas integrates operational and vector databases in a single, unified platform. Use vector representations of your data to perform semantic search, build recommendation engines, design Q&A systems, detect anomalies, or provide context for gen AI Apps.

Learn More

Documentation

### Stream Processing Use Cases

Build scalable event-driven applications that react and respond in near real-time. Atlas Stream Processing unifies the developer experience, enabling you to work with high-velocity data streams from sources like Apache Kafka using the same familiar MongoDB Aggregation Pipeline stages you use for your database.

Learn More

Tutorial

### Operational Use Cases

Optimize write performance with a document data model that maps to your application’s access patterns. Meet a wide range of query requirements via a single query API that supports everything from simple lookups to complex processing pipelines for data analytics and transformations.

Learn More

Documentation

### Transactional Use Cases

Guarantee millisecond response times at scale with a flexible document data model and rich query capabilities—including secondary indexing, joins, multi-document ACID transactions and more.

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Documentation

### Search Use Cases

Combine three systems—database, search engine, and sync mechanisms—into one and deliver 30-50% faster. Build catalog and content search, in-app search, and single view into your application with MongoDB Atlas Search.

Learn More

Documentation

### Analytical Use Cases

Unify the core capabilities needed for application-driven analytics with MongoDB Atlas. Perform powerful aggregations and transformations in-place and in real time. Leverage optimized indexes, storage, data formats and an extensive ecosystem of native and integrated analytics services to build smarter applications and achieve real-time business visibility.

Learn More

Documentation

### Graph Use Cases

Elevate your applications with MongoDB’s native graph data support. Traverse relationships across your collections to uncover patterns, enable intelligent graph-based reasoning, and build powerful solutions like recommendation engines, fraud detection, network management, and knowledge graphs.

Learn More

Documentation

### Geospatial Use Cases

Easily build applications that leverage geospatial data with MongoDB's native support for GeoJSON and simple coordinate pairs. Harness specialized indexes for blazing-fast queries. A one-stop solution for logistics, location-based services, and spatial analysis.

Learn More

Documentation

## Loved by developers, trusted by enterprises

View all customer stories

200databases migrated to Atlas in 4 months

240%improvement in API performance

Retail

“MongoDB and everything that comes with it was great. On MongoDB, we could automate our deployments and scalability monitoring, and we had advanced features like search charts and an online vector store that didn’t exist in the CouchDB ecosystem.”

Read Case StudyMongoDB for Retail

200databases migrated to Atlas in 4 months

240%improvement in API performance

Retail

“MongoDB and everything that comes with it was great. On MongoDB, we could automate our deployments and scalability monitoring, and we had advanced features like search charts and an online vector store that didn’t exist in the CouchDB ecosystem.”

Read Case StudyMongoDB for Retail

99.99%availability for customers

9M+vehicles serviced

AUTOMOTIVE

“We use MongoDB as the core database for our services, so any new innovative idea or new service we build, we automatically say, ‘We’re going to use MongoDB as the core platform,’ knowing that it’s going to give us the reliability and the scalability that we’re going to need.”

Read Case StudyMongoDB for Automotive

30%improvement in resource efficiency

3.5 Mcustomer service calls per month

Telecommunications

“Managing both vector and operational data in MongoDB opened a new world to our team. By migrating operational data from PostgreSQL to MongoDB, we eliminated redundant processes and streamlined data queries.”

Read Case StudyMongoDB for Telecommunications

10minutes to generate reports instead of 12 weeks

50%of the world's insulin production

HEALTHCARE

“We’ve reduced the time taken to create Clinical Study Reports from 12 weeks to 10 minutes, with higher quality outputs and a fraction of the team. In terms of value, each day sooner a medicine gets to market can add around $15 million in revenue to the company.”

Read Case StudyMongoDB for Healthcare

3.25times faster cluster deployments

60%reduction in scaling time

Financial Services

“Now that we have these automatic systems in place, we have more time. We can focus on providing value for both engineers at Coinbase and our end users.”

Read Case StudyMongoDB for Financial Services

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MongoDB integrates with 100+ of your favorite technologies

Explore our ecosystem

## Choose your path

# START HERE

##### Build the next big thing

Create the applications of tomorrow with less complexity than ever before.

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