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Text Content

New
{New}  Announcing MongoDB Atlas Vector Search and Dedicated Search Nodes for
genAI use cases
New

MongoDB Named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud Database
Management Systems Read more >>

New

Announcing Atlas Vector Search and Dedicated Search Nodes now GA for AI use
cases Read more >>

Event

You’re invited to MongoDB.local NYC on May 2. Get your early bird discount now!
Learn more >>



General Information

 * General Information
 * All Documentation
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 * Products
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   Platform Services
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   experiencesVector SearchDesign intelligent apps with GenAIStream Processing
   (Preview)Unify data in motion and data at rest
   Tools
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   third-party servicesRelational MigratorMigrate to MongoDB with confidence
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MONGODB ATLAS

Loved by developers. Built for

Time Series Data

You don't need a separate database to support transactions, rich search, or
genAI. The world's most popular document database is now the world's most
versatile developer data platform.

Start Free
Learn More

46k+
Customers →
110+
Regions across AWS, Azure, and Google Cloud →
140k+
Developers join every month →
#1
Most used modern database →







ANNOUNCING ATLAS VECTOR SEARCH AND SEARCH NODES

Build and scale AI use cases with native vector support and production-ready
infrastructure.

Learn more
Events near you




MONGODB UNIVERSITY

The new learning experience makes picking up knowledge, developing a fundamental
MongoDB skill set, and getting certified both quick and easy.
Explore Now


WORKING WITH DATA DOESN’T
NEED TO BE HARD

Our guiding principle is to help developers solve their data challenges. Here’s
what you can do with MongoDB.


BUILD FASTER

Ship and iterate 3–5x faster with our flexible document data model and a unified
query interface for any use case.


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Whether it’s your first customer or 20 million users around the world, meet your
performance SLAs in any environment.


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Start in seconds and scale to millions with our cloud services

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variety of use cases, from transactional to analytical, from search to data
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DATABASE SOFTWARE USED BY MILLIONS

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Learn more


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ENTERPRISE SOFTWARE AND SUPPORT

The best way to run MongoDB yourself. Drive operational efficiency and security.
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Built by developers, for developers

The document data model maps to how you think and code.

Model

Break out of rigid, tabular data structures with flexible documents that map
directly to objects in your code. Embed related data into a single document to
increase performance and minimize computational cost.

Query

Take advantage of a simple and expressive query API to retrieve and modify
documents in a single collection or join across collections. Transform and
analyze your data in place – no ETL or duplication needed – with a powerful
aggregation pipeline.

Optimize

Optimize queries, react instantly to database changes, and generate materialized
views on-demand. MongoDB makes it easy to receive and process millions of
requests per day with no change in performance.

Javascript
Python
Java
C#
0
// Query on embedded documents
1

2
const cursor = db.collection('orders').aggregate([{
3
"$vectorSearch": {
4
"index" :"default",
5
"path" :"name_embedding",
6
"queryVector" : query_embedding,
7
"numCandidates" :150,
8
"limit" :10
9
}
10
}]);
11

12
// Process multiple documents and return
13
// computed results with aggregation operations
14

15
db.customers.aggregate([
16
//Stage 1: Vector Search for Jack Beanstalk
17
{
18
"$vectorSearch": {
19
"index": "default",
20
"path": "name_embedding",
21
"queryVector": query_embedding,
22
"numCandidates": 150,
23
"limit": 10,
24
"customer.name": "Jack Beanstalk"
25
},
26
//Stage 2: Unwind items array
27
{
28
'$unwind': '$items'
29
},
30
//Stage 3: Group remaining documents by item name and sum
31
{
32
'$group': {
33
'_id':'$items.name',
34
'totalOrders': {
35
'$sum': '$items.quantity'
36
}
37
}
38
}
39
])
40

Documentation

Docs

Reference manuals, articles, and code samples — all the technical documentation
you need to deploy, configure, and run MongoDB.

Documentation


Developer Center

The latest MongoDB tutorials, videos, and code examples shown in the language of
your choice.

Start Building


Community Forum

Join 140K+ developers on our Community Forums to get advice, learn tips and
tricks, and share your projects and experience.

Join the Community


Don’t just take our word for it

Find out why MongoDB is the industry’s most used modern database for the 5th
year in a row.



“The granular updates you can perform on nested @MongoDB data is pretty
amazing.”

Charlie Lu @theCHARlister

Software Engineer; Typescript

“MongoDB is my favorite. Atlas is an amazing product and service”

John Hanley @NeoPrimeAWS

Enterprise Architect and SWE; PHP, Python, C# and Swift

"Finally achieved my MongoDB Certification from @MongoDB. The courses are
amazingly interactive. Loved every second of it💪🥇”

Steven Oketch @iSteve_zion

Web Developer; MERN Stack



MongoDB Atlas

Learn about the platform


The developer data platform for any use case.

Learn about the platform
Vector SearchStream ProcessingOperationalTransactionalText
SearchAnalyticalEdgeGraphGeospatial
Vector Search Stream Processing Operational Transactional Text Search Analytical
Edge Graph
Vector Search
Vector Search
Stream Processing
Operational
Transactional
Text Search
Analytical
Edge
Graph

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 GenAI apps.

Learn More
Documentation




LOVED BY DEVELOPERS, TRUSTED BY ENTERPRISES

View all customer stories


100K+

developers on the platform

45+

pre-trained AI APIs
Read Case Study


ARTIFICIAL INTELLIGENCE

“All of the business logic of our platform needs to make decisions very fast.
It’s all running on Atlas, which allows us to move faster because we don’t have
to worry about deploying or scaling. Whenever we need to add more fields, more
queries, more steps in the business logic, Atlas just works. We don’t have to
think about it.”

Read Case Study
MongoDB for Artificial Intelligence


90%

time savings

10M

documents searched in 15ms
Read Case Study


INSURANCE

“Atlas Search is blazing fast! We can surface relevant results from data sets
with tens of millions of documents in around 15ms.”

Read Case Study
MongoDB for Insurance


40%

cost savings

4

use cases, 1 query interface
Read Case Study


RETAIL

“Cost, speed, reliability and access to the data. From our perspective, we will
have realized a 40% cost saving by the time we've finished our migration. That's
huge.”

Read Case Study
MongoDB for Retail


65M+

daily events processed

40%

more resource efficient
Read Case Study


MANUFACTURING

“We expect to process 20 times as many events in just two years’ time – that’s
two billion per day and Atlas is well placed to handle that massive increase
without a problem.”

Read Case Study
MongoDB for Manufacturing


32

applications migrated in 30 days

2M+

customers supported
Read Case Study


FINANCIAL SERVICES

“The fact that MongoDB Atlas supported the three major hyperscalers [Google
Cloud, AWS, Azure] helped with portability and supports a multi-cloud future for
us. It made it really easy for us to choose MongoDB because we didn’t have to
then hedge our bets on a particular cloud provider or a particular process — we
could be flexible.”

Read Case Study
MongoDB for Financial Services


FINANCIAL SERVICES

DE-RISK YOUR MODERNIZATION JOURNEY

Iterative modernization enables financial firms to innovate while modernizing —
with immediate gains and less risk.
Learn More


USE CASES

From legacy modernization to IOT data to single view, learn how you can use
MongoDB.

View all use cases



INDUSTRIES

MongoDB helps remove barriers to innovation for organizations in any industry.

View our solutions



WORKS SEAMLESSLY WITH YOUR TECH STACK

MongoDB integrates with 100+ of your favorite technologies
Explore our ecosystem



Choose your path

START HERE

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