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BLOGAtlas Vector Search voted most loved vector database in 2024 Retool State of
AI report — Read more >>
Blog
Atlas Vector Search voted most loved vector database in 2024 Retool State of AI
report Read more >>
NEW
Develop your AI future on MongoDB Start here >>
Blog
Announced at MongoDB.local NYC 2024: A recap of all announcements and updates —
Read more >>
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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 gen
AI. The world's most popular document database is now the world's most versatile
developer data platform.
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47k+
Customers →
118
Regions across AWS, Azure, and Google Cloud →
175K+
Developers join every month →
#1
Most used modern database →
DEVELOP YOUR AI FUTURE ON MONGODB
Easily build AI applications with unified data on MongoDB’s industry-leading
developer data platform.
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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.
SCALE FURTHER
Whether it’s your first customer or 20 million users around the world, meet your
performance SLAs in any environment.
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Easily ensure high availability, protect data integrity, and meet the security
and compliance standards for your mission-critical workloads.
FULLY MANAGED IN THE CLOUD
Start in seconds and scale to millions with our cloud services
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MULTI-CLOUD DEVELOPER DATA PLATFORM
An integrated suite of cloud database services that allow you to address a wide
variety of use cases, from transactional to analytical, from search to data
visualizations.
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REAL-TIME DATA AT THE EDGE
Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict
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DATABASE SOFTWARE USED BY MILLIONS
Our distributed document database is where it all began. Free forever with
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ENTERPRISE SOFTWARE AND SUPPORT
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Built by developers, for developers
The document data model maps to how you think and code.
Model
Escape from rigid, tabular data structures with flexible documents that map
directly to objects in code. Incorporate nested objects, vector embeddings,
geospatial and time-series measurements into a data model optimized for
performance, compute cost, and productivity.
Query
Use an expressive, developer-native query API to work with data anyway your
application needs. Retrieve and modify documents. Prompt LLMs with semantic
search across vectors. Aggregate, transform and analyze your data in place,
without having to ETL it to another system
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Optimize queries, react instantly to database changes, and generate materialized
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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
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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
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The developer data platform for any use case.
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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 gen AI Apps.
Learn More
Documentation
LOVED BY DEVELOPERS, TRUSTED BY ENTERPRISES
View all customer stories
10 MINUTES
to generate reports instead of 12 weeks
50%
of the world's insulin production
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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 Study
MongoDB for Healthcare
70+
countries served
100M+
items in product catalog
Read Case Study
ARTIFICIAL INTELLIGENCE
“We needed to move to an up-to-second real-time recommendations system, and that
is what MongoDB Atlas Vector Search enabled us to do.”
Read Case Study
MongoDB for Artificial Intelligence
30%
reduction in operating costs
18K+
global customers
Read Case Study
SOFTWARE
“Atlas Vector Search was the solution to our problems. It simplifies a lot of
the work that goes into making Okta Inbox super user friendly for customers.”
Read Case Study
MongoDB for Artificial Intelligence
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.”
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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.
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