NewAnnouncing MongoDB Atlas Vector Search and Dedicated Search Nodes for genAI use cases

Developer data platform

Innovate fast at scale with a developer data platform, an integrated set of data and application services that share a unified developer experience.
Get Started
An illustration of developer writing code and inputting data into computer.

What is a developer data platform?

A developer data platform provides a tightly integrated collection of data and application infrastructure building blocks, allowing development teams to quickly deploy bespoke architectures to address any application need. It supports transactional, search, and analytical use cases across mobile, distributed, event-driven, and serverless architectures, all while reducing data infrastructure sprawl and complexity.

Developers need a new way to work with data


Data infrastructure sprawl

As organizations increasingly become digital-first, they’re faced with a growing list of application and data requirements. To address these new requirements, many resort to deploying a complex sprawl of single-purpose data technologies, reducing the likelihood of repeatable models of success while also putting a massive strain on all teams.


Fragmented developer experience

For development teams, working with data is often cited as one of the most difficult parts of building applications. A fragmented developer experience across disparate data technologies creates additional friction as teams must learn, hire for, and stay up to date on multiple database and data services.


High operational and integration costs

The cost — measured in both time and money — of moving and reorganizing data within and across disparate data systems is often extraordinary, especially as data volumes increase and data velocity requirements become more demanding.

Developer data platform benefits

An illustration of an application surrounded by a laptop, code brackets, pencil and mobile phone.

Accelerate innovation at scale

Address any application’s data needs quickly, accelerate time to value, and reduce complexity by picking and choosing what you need from an integrated collection of data and application infrastructure services.
An illustration of a data application with wrench, database, and cog wheel.

Streamline the developer experience

Improve the developer experience and boost developer productivity with a unified and consistent interface across all the data and application services needed to meet your application requirements.
An illustration of data being passed between two hands, representing two applications sharing information.

Eliminate data integration burden

Dramatically reduce the time and resources your teams need to spend on designing, testing, monitoring, and maintaining system component interactions between disparate data technologies. This includes data integration, data movement, and managing data duplication.

Our multi-cloud developer data platform

A diagram showing the layers of MongoDB Atlas, including the document model, unified query API, and unique benefits.

MongoDB Atlas

MongoDB Atlas, the industry’s leading developer data platform, simplifies application development and working with data for a wide variety of use cases, scales globally, and optimizes for price/performance as your data needs evolve over time. With Atlas, you can address the needs of modern applications faster to accelerate your go-to-market timelines, all while reducing data infrastructure complexity.

Unified way to work with data

Atlas provides a unified, intuitive, and elegant developer experience starting with a document data model that’s flexible, easy to work with, and aligned with modern development approaches.


Broad workload support

Atlas supports most or all of an organization’s application data requirements, without the need to learn different systems, different query languages, and different deployment models.


Global reach and scale

Build on a secure, dependable, and scalable foundation. Atlas enables you to easily take your application global, withstand regional outages, and address the most demanding data security and data privacy requirements.

Core capabilities

Multi-model support

Documents have the versatility to support many different data models and use cases, including key-value, relationships, graph, and geospatial data.


ACID transactions

MongoDB supports multi-document transactions, combining the speed, flexibility, and power of the document model with ACID data integrity guarantees.


Time series

With time series collections, MongoDB supports the entire lifecycle of time series data, from ingestion, storage, querying, and visualization to data archival.



Unify three systems — database, search engine, and sync mechanisms — into one, delivering application search experiences 30% to 50% faster.


In-app analytics

MongoDB provides the capabilities to deliver insight-driven experiences such as hyper-personalized ecommerce experiences at application speed.


Real-time business insights

Make data collection, data transformation, and insight delivery much easier. Blend data across multiple sources and connect your favorite BI tool directly to Atlas.


Mobile and edge

Mobile-to-cloud data synchronization simplifies application development and keeps your data up-to-date across devices, users, and your cloud backend.


Event-driven architectures

Atlas enables you to easily build real-time, event-driven architectures that execute server-side logic in response to a wide variety of database events.

An abstract illustration acting as the MongoDB and Current video cover image
What our customers say
Trevor Marshall — CTO of the leading U.S. challenger bank, Current — discusses how his company built its own ledgering system with MongoDB and Google Cloud. Learn why quick iteration and the flexibility to be more agile with its data design became key for the company’s success.Get the details

Featured Analyst Reports

Forrester Wave Leader Badge

The Forrester Wave™: Translytical Data Platforms, Q4 2022

MongoDB was named a leader in The Forrester Wave™: Translytical Data Platforms, Q4 2022.

Gartner Logo

2022 Gartner® Magic Quadrant for Cloud Database Management Systems

MongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems.




Find tutorials, code samples, and references on how to use all of our products.


Developer center

Explore the latest MongoDB tutorials, videos, and code examples with your favorite languages and tools.


MongoDB University

Learn the basics of MongoDB and broaden your data skills with our free online courses, taught by experts.


Join the community

Meet fellow developers and interact with our products and engineering teams in our community forums.

Build the next big thing with MongoDB

Get started in seconds. Our free clusters come with 512MB of storage so you can play around and get oriented with our platform.
Get Started
An illustration of arms typing code on a laptop.