MongoDB for Analytics

Reporting and Dashboarding. Real-time Analytics.
AI and Machine Learning. Serverless Data Lake.

Analytics for MongoDB
Deliver insights your business demands and handle any new source of data. With the only data model flexible enough for rich modern data, a distributed architecture built for cloud scale, and a robust ecosystem of tools for every user, the MongoDB data platform helps you break free from data silos so you can scale your innovation.

Real-Time Insights

Deliver rapid insight and actions directly on fresh, operational data without time-consuming and fragile ETL.

Full Data Lifecycle

Support all phases of the data lifecycle in the cloud - from streaming to batch and ingestion to transactions - with intelligent data tiering and federated query.

Data-Driven Teams

Enable data sharing and collaboration by serving multiple audiences with native, skill-appropriate tools.

Why use MongoDB for Data Analytics?

Accelerate Insights

Flexible Data Model

Store and combine data of any structure and modify schemas dynamically as your data evolves using MongoDB’s flexible data model.

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Flexible Data Model

Powerful Aggregation Framework

Build consumable data processing pipelines with MongoDB’s expressive query language and the powerful aggregation framework.

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Powerful Aggregation Framework

MongoDB Charts

Natively visualize MongoDB data, embed charts into your applications, and build live dashboards for collaboration with MongoDB Charts.

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MongoDB Charts Dashboard

Store and combine data of any structure and modify schemas dynamically as your data evolves using MongoDB’s flexible data model.

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Flexible Data Model

Intelligently Tier Your Data

Atlas Data Lake

Natively query data of any format across Amazon S3 and MongoDB Atlas in-place using MongoDB’s fully managed, serverless Atlas Data Lake.

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Distributed Processing

Process your data in parallel with a query framework that is aware of data locality and optimizes in-place computation to reduce data movement.

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Distributed Processing

Workload Isolation

Serve multiple workloads simultaneously without data duplication or performance impact using workload isolation or Atlas analytics nodes.

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Workload Isolation

Natively query data of any format across Amazon S3 and MongoDB Atlas in-place using MongoDB’s fully managed, serverless Atlas Data Lake.

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Leverage a Rich Ecosystem of Tools and Machine Learning

MongoDB Connector for BI

Create rich visualizations using SQL-based business intelligence tools with MongoDB Connector for BI, eliminating the need for complex ETL processes.

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MongoDB BI Connector

MongoDB Connector for Spark

Enable machine learning development with MongoDB Connector for Spark which exposes all of Spark’s libraries and APIs.

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MongoDB Spark Connector

MongoDB Stitch

Innovate faster by plugging into the leading cloud machine learning and AI services with MongoDB Stitch service integrations.

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MongoDB Stitch

MongoDB Drivers

Unleash the power of Python, R, or an array of other idiomatic drivers and frameworks with MongoDB Drivers.

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MongoDB Drivers

Create rich visualizations using SQL-based business intelligence tools with MongoDB Connector for BI, eliminating the need for complex ETL processes.

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MongoDB BI Connector

CUSTOMER SPOTLIGHT

Trusted by industry leaders and startups on the cutting edge

Powering advanced analytics on unstructured data in the cloud

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Scaling business insights for a ticketing eCommerce platform
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Enabling a new era of safety and autonomous driving with machine learning
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Building an AI-powered workplace ticketing system
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Accelerating life saving discoveries with revolutionary data science on complex genetic data
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MongoDB for Translytical Workloads

Ready to get started?

Launch a new cluster or migrate to MongoDB Atlas with zero downtime.