MongoDB System Properties

MongoDB provides an integrated suite of cloud database and data services to accelerate and simplify how developers build with data.

MongoDB has been one of the fastest growing databases over the past decade in DB-Engines Rankings, and is consistently rated as one of the databases developers most want to use in Stack Overflow's annual developer survey. 

Developers love working with MongoDB because they:

1. Develop faster with the document model: MongoDB's JSON-like document data model maps to the objects in your application code. Its flexibility allows you to model data of any structure – from the vast diversity of regular application data to vector embeddings composed of several thousand dimensions. Any of these structures can be modified at any time. 
2. Work with data as code for any use case. MongoDB's unified query API is the most natural way to work with data in any form. Atlas extends MongoDB's flexibility and ease of use to building AI-enriched apps with in-app intelligence, semantic and  keyword search, time-series and geospatial applications, and streaming, event-driven services. 
3. Perform securely at any scale. MongoDB's distributed systems foundation means you cn scale-out your database on-demand, with full redundancy and built-in, always-on security controls

Built around the flexible document data model and unified API, MongoDB is a developer data platform, designed to work with data any way your application needs. Working with data in-motion and data at-rest, MongoDB Atlas provides all of the core data services that enable developers to build any class of modern, intelligent software.

MongoDB has been named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

MongoDB University offers no cost training for developers and operations teams for all of MongoDB's products

• Atlas Database: A transactional multi-cloud database service built for operational applications demanding the highest levels of resilience, scale, data privacy, and security.
• Atlas Vector Search: Build intelligent applications powered by semantic search and generative AI over any type of data.
  
• Atlas Search: Build fast, relevance-based keyword search directly into an app without the need for a bolt-on search engine.
• Atlas Stream Processing: Easily create applications that leverage streaming data. Developers can continuously process and analyze streams of complex data using the same MongoDB drivers, query API, and flexible data model they use for the database.  
  
• Atlas Charts: Bring your data to life and get real-time insights with embeddable dashboards and visualizations.
• Atlas Data Lake: A fully managed storage solution that provides the economics of cloud object storage and is optimized for analytical queries
• Atlas Data Federation: Seamlessly query, transform, and aggregate data from one or more Atlas databases and cloud object storage offerings
• Atlas Online Archive: Tier aged data from Atlas databases to fully managed object storage and query it through a single endpoint.
• Atlas App Services: APIs, Triggers, Functions to build apps, integrate services, and connect to your data without operational overhead.
• Atlas Device Sync: Keep your data up-to-date across devices, users, and your backend

• AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain)

• Internet of Things and Time Series (Bosch, GE Healthcare, Jaguar Land Rover)

• Mobile (Cathay Pacific, Telefonica, ADP)

• eCommerce (Cisco, 7-Eleven)

• Single View (MetLife, AO.com)

• Personalization (Glassdoor, Expedia, eHarmony)

• Catalogs (Under Armour, Keller Williams, Forbes)

• Gaming (EA, Epic Games, Sega)

• Payments (Coinbase, Nets Group, Macquarie Group)

• Mainframe Offload (Alight Solutions, Barclays, Nationwide)

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN, City of Chicago, Coinbase, Department of Veteran Affairs, Department of Works and Pensions, eBay, eHarmony, Electronic Arts, Elsevier, Epic Games, Expedia, Forbes, Foursquare, Gap, Genentech, HSBC, Jaguar Land Rover, KPMG, MetLife, Morgan Stanley, Nationwide, Nat West, OTTO, Pearson, Porsche, RBS, Sage, Salesforce, SAP, Sega, Sprinklr, Telefonica, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless, Vodafone, Volvo

See more MongoDB customers.

• Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month handling tens of PBs of data, and serving hundreds of billions of queries every day.

• MongoDB Atlas is available in 110+ cloud regions across AWS, Azure, and Google Cloud
  

• 43,000+ customers in more than 100 countries around the world. Includes more than 50% of the Fortune 100

• Named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

• 1.5M+ registrations for MongoDB University courses

• More than 1,000 technology and service partners

• Highest placed non-relational database in DB Engines rankings  

• MongoDB database server: Server-Side Public License (SSPL). Commercial licenses are also available from MongoDB, Inc.

• MongoDB supported drivers: Apache License v2.0. Third parties have created over 30 drivers too; licenses will vary.

• MongoDB Documentation: Creative Commons.

• MongoDB Atlas offers a fully-managed multi-cloud MongoDB as a service with dedicated clusters and serverless instances on ~110 regions across AWS, Azure, and Google Cloud

• Realm by MongoDB is licensed under the Apache License v2.0. 

• Consulting and training through MongoDB Professional Services are also available