MONGODB ATLAS

Productivity

Move faster with intuitive tools to work with your data and a platform of services that make it easy to build, secure, and extend applications that run on MongoDB.

Get More Out of Your Data

MongoDB Atlas offers built-in interfaces to explore, manipulate, visualize, share, connect, and analyze your data.

Explore and Manipulate

Use the Data Explorer to run queries, view metadata about your collections, monitor index usage, and interact with your data with full CRUD functionality.

Use the Aggregation Pipeline Builder to build and preview multi-stage data processing pipelines for transforming your documents into aggregated results.

Visualize MongoDB Data

Create custom charts and dashboards with MongoDB Charts (beta), the native data visualization tool built for MongoDB’s rich document data model.

  • Build visualizations from different sources with an intuitive UI
  • Assemble dashboards for an at-a-glance view across all of your operational data
  • Share dashboards with your team and set permissions for view-only or editing access
  • Use dashboards for collaborative analysis or presentations

Learn more about Charts →

Connect and Analyze

Use MongoDB Atlas as a data source for your SQL-based BI and analytics platforms and reduce reliance on custom ETL jobs.

The MongoDB BI Connector translates SQL queries from your BI platform into appropriate MongoDB queries and converts the results back into tabular format for visualization.

Learn more about BI Connector→

Charts will enable our marketing and business team to gain insights from our database, without resorting to sophisticated and expensive BI tools. There’s no doubt in my mind that moving to MongoDB Atlas has increased our team’s productivity.

Nicolae Gudumac, CTO, Planable

We’re looking into Hadoop, Spark, and Tableau for a few of our clients. MongoDB’s native connectors for Hadoop, Spark, and BI platforms come in handy for those projects.

James Mullaney, Lead Developer, HT2 Labs

Charts will enable our marketing and business team to gain insights from our database, without resorting to sophisticated and expensive BI tools. There’s no doubt in my mind that moving to MongoDB Atlas has increased our team’s productivity.

Nicolae Gudumac, CTO, Planable

We’re looking into Hadoop, Spark, and Tableau for a few of our clients. MongoDB’s native connectors for Hadoop, Spark, and BI platforms come in handy for those projects.

James Mullaney, Lead Developer, HT2 Labs

MongoDB Atlas also helps with its seamless integration with AWS. Currently, we’re using Amazon Redshift as a primary pipeline from outside third-party data sources that use SQL to extract details from our data. We can process this data on our servers and then store it in MongoDB to be referenced for future use.

Oren Zamir, CTO, CaliberMind

Build Real-Time Applications

MongoDB Atlas makes it easy to build modern, responsive applications with database triggers. React to database changes and authentication events as they happen.

Auto-Fill User Profiles

When a new user signs up with an authentication provider like Google or Facebook, create a new document in the database that auto-populates with their name, email, profile photo, and other account information.

Schedule Physical Work

When sensor data from an IoT device indicates that inventory levels have fallen below a certain threshold or an appliance is malfunctioning, trigger a downstream system to schedule a restocking or maintenance event.

Monitor App Activity

When a user’s account activity appears suspicious, such as too many failed login attempts or declined credit card information, send a text or email notification to alert the user and have them review the actions in question.

Move Faster with the Serverless Platform for MongoDB

MongoDB Atlas enables you to build applications faster with Stitch, a native serverless platform. Focus on business logic and delivering value rather than managing application servers and writing boilerplate code.
Learn more about MongoDB Stitch →

Connect to MongoDB

View Docs

An app user is authenticated before being able to store and retrieve data using the MongoDB query language.

Access Rules

Your rules for accessing data, services, and functions can be as simple or sophisticated as you like.

Services

Third-party services, such as Twilio can easily be referenced in the client. Each service comes with pre-built actions which can be sent to Stitch for execution.

Functions

Service calls and database actions can be composed with each other inside functions. Here we use data from MongoDB to decide which users to send a text to.

JSSwiftJava

Stitch has been fantastic for us. We’ve cut the time to develop an API for our customers in half, and by combining MongoDB Atlas and Stitch, our teams now have more time to solve business problems versus focusing on the management or operational overhead.

Chris Lanaux, Vice President of Product and Engineering, Acxiom

We were able to quickly use MongoDB Stitch, MongoDB’s backend as a service, to integrate Alexa Voice Server, AWS Lambda, and our data in MongoDB Atlas to deliver a voice-driven demo at one of the largest investor relations conferences.

Alex Corotchi, VP of Technology, Q4, Inc.

Stitch has been fantastic for us. We’ve cut the time to develop an API for our customers in half, and by combining MongoDB Atlas and Stitch, our teams now have more time to solve business problems versus focusing on the management or operational overhead.

Chris Lanaux, Vice President of Product and Engineering, Acxiom

We were able to quickly use MongoDB Stitch, MongoDB’s backend as a service, to integrate Alexa Voice Server, AWS Lambda, and our data in MongoDB Atlas to deliver a voice-driven demo at one of the largest investor relations conferences.

Alex Corotchi, VP of Technology, Q4, Inc.

Ready to get started?

Deploy a test cluster for free today

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The global cloud database, built and run by MongoDB.

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Distributed fault tolerance and managed backups.