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Submitted URL: https://www.makeovercosmetics.realm-qa.mongodb.com/
Effective URL: https://www.mongodb.com/
Submission: On November 17 via api from US — Scanned from US
Effective URL: https://www.mongodb.com/
Submission: On November 17 via api from US — Scanned from US
Form analysis 1 forms found in the DOM
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</form>Text Content
Event
{Event} Unlock the power of AI together with AWS and MongoDB – Join us at AWS
re:Invent 2023 Nov 27 - Dec 3
General Information
* General Information
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MONGODB ATLAS
For the next generation of intelligent applications.
Build applications on the industry's first developer data platform. From
AI-powered and event-driven apps to edge use cases and search, build fast and at
the scale users demand.
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Customers →
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Regions across AWS, Azure, and Google Cloud →
140k+
Developers join every month →
#1
Most used modern database →
Connecting to: mongodb+srv://cluster0.ab123.mongodb.net/myFirstDatabase
Using MongoDB: 7.0
# Query three documents in movieEmbeddings
# collection using sample_movie_index
db.movieEmbeddings.aggregate([
{"$vectorSearch": {
"Index": "sample_movie_index",
"queryVector":[0.09234, 0.49358, ...],
"path": "plot_embedding",
"numCandidates": 100,
"limit": 3,
"filter": {
"year": {"$gt": 1995}
}
}}
]);
[
{
_id: ObjectId("5ebf04b48b0a5b45bd244b79"),
title: 'Building Big Things',
rated: 'PG-13',
genres: [ 'Action', 'Thriller'],
awards: { wins: 2, nominations: 9 },
year: 1996,
plot: 'A young computer science student travels across the world …
plot_embedding: [0.0422, 0.0243, 0.0293, 0.0436, 0.0129]
},
{
_id: ObjectId("5ebf04b48b0a5b45bd244b7d"),
title: 'Too Soon',
BUILD THE NEXT BIG THING IN AI WITH MONGODB
Our AI Innovators Program enables innovation and showcases cutting-edge AI
solutions from startups, customers, and partners.
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Events near you
MONGODB UNIVERSITY
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MongoDB skill set, and getting certified both quick and easy.
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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.
SLEEP BETTER
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
ATLAS
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
resolution.
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Run MongoDB anywhere, from your laptop to your data center
COMMUNITY EDITION
DATABASE SOFTWARE USED BY MILLIONS
Our distributed document database is where it all began. Free forever with
seamless migration to Atlas.
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ENTERPRISE ADVANCED
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
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
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').find({
3
'customer.name': 'Jack Beanstalk'
4
});
5
6
// Process multiple documents and return
7
// computed results with aggregation operations
8
9
db.customers.aggregate([
10
//Stage 1: Filter orders by customer name
11
{
12
'$match': {
13
'customer.name': 'Jack Beanstalk'
14
}
15
},
16
//Stage 2: Unwind items array
17
{
18
'$unwind': '$items'
19
},
20
//Stage 3: Group remaining documents by item name and sum
21
{
22
'$group': {
23
'_id':'$items.name',
24
'totalOrders': {
25
'$sum': '$items.quantity'
26
}
27
}
28
}
29
])
30
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.
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Join 140K+ developers on our Community Forums to get advice, learn tips and
tricks, and share your projects and experience.
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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
Learn about the platform
The developer data platform for any use case.
Learn about the platform
Vector SearchStream ProcessingOperationalTransactionalText
SearchAnalyticalEdgeGraphGeospatial
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.
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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.”
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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.
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USE CASES
From legacy modernization to IOT data to single view, learn how you can use
MongoDB.
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MongoDB helps remove barriers to innovation for organizations in any industry.
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