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{Blog}  MongoDB named as a leader in the Forrester Wave™: Translytical Data Platforms, Q4 2022 - learn more

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MongoDB @ AWS re:Invent

NOV 28 - DEC 2, 2022

Visit us at re:Invent to learn why MongoDB Atlas is developers’ #1 choice for working with data on AWS. Move beyond lift and shift in how you work with data to a unified developer data platform.

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MongoDB Atlas

The developer data platform for any workload.
Start With Atlas
Transactional Workloads
Guarantee millisecond response times at scale with a flexible document data model and rich query capabilities – including secondary indexing, joins, multi-document ACID transactions and more.
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Search Workloads
Combine three systems - database, search engine, and sync mechanisms - into one and deliver 30-50% faster. Build catalog and content search, in-app search, and single view into your application with MongoDB Atlas Search.
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Analytical Workloads
Unify the core capabilities needed for application-driven analytics with MongoDB Atlas. Perform powerful aggregations and transformations in-place and in real-time. Leverage optimized indexes, storage, data formats and an extensive ecosystem of native and integrated analytics services to build smarter apps and achieve real-time business visibility.
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Mobile Workloads
Gain the freedom to collect, aggregate, and process data wherever you need with MongoDB Atlas. Handle data from the most resource-constrained environments with a leading mobile database, while seamlessly storing that data in a multi-cloud backend.
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One Platform. Any Workload.
Stop fragmenting your data with purpose-built databases. Get up and running quickly with the platform that simplifies your data structure and adapts to your tech stack and use case. MongoDB Atlas combines resilience, nearly infinite scalability, and best-in-class security, with multi-cloud flexibility.
Learn More
Transactional Workloads
Guarantee millisecond response times at scale with a flexible document data model and rich query capabilities – including secondary indexing, joins, multi-document ACID transactions and more.
Learn More
Transactional
Search
Analytical
Mobile
Mission Critical
Search Workloads
Combine three systems - database, search engine, and sync mechanisms - into one and deliver 30-50% faster. Build catalog and content search, in-app search, and single view into your application with MongoDB Atlas Search.
Learn More
Transactional
Search
Analytical
Mobile
Mission Critical
Analytical Workloads
Unify the core capabilities needed for application-driven analytics with MongoDB Atlas. Perform powerful aggregations and transformations in-place and in real-time. Leverage optimized indexes, storage, data formats and an extensive ecosystem of native and integrated analytics services to build smarter apps and achieve real-time business visibility.
Learn More
Transactional
Search
Analytical
Mobile
Mission Critical
Mobile Workloads
Gain the freedom to collect, aggregate, and process data wherever you need with MongoDB Atlas. Handle data from the most resource-constrained environments with a leading mobile database, while seamlessly storing that data in a multi-cloud backend.
Learn More
Transactional
Search
Analytical
Mobile
Mission Critical
One Platform. Any Workload.
Stop fragmenting your data with purpose-built databases. Get up and running quickly with the platform that simplifies your data structure and adapts to your tech stack and use case. MongoDB Atlas combines resilience, nearly infinite scalability, and best-in-class security, with multi-cloud flexibility.
Learn More
Transactional
Search
Analytical
Mobile
Mission Critical
Transactional
Search
Analytical
Mobile
Mission Critical
Don't just take our word for it
Find out why MongoDB is the industry’s most used non-relational database for the 5th year in a row.
“We also get enormous benefits from the code-first, dynamic data modeling approach which MongoDB makes possible. It reduces the cognitive load on our engineers and means we can evolve the schema more quickly.”
Mike Liberant
Director of Engineering, Rent The Runway
“Coordinating the inter-team dependencies and executing the reindex process meant it would take us three to five days to roll out new application features with Elasticsearch. Because Atlas Search is embedded right alongside the database, everything is automated for us. Now we’ve got feature releases down to three hours, representing a time saving of over 90%.”
Johannes Mangold
Lead Solution Architect, Helvetia
"To produce the metrics and analytics we’ve been able to build, plus the ability to do time-series reporting, would traditionally require a large ETL implementation. [With Atlas,] we’re able to build our data stores and then put the reporting right on top of that, and do that at scale. We’re able to convert information into actionable and meaningful data. That’s the crux of this InSight platform.”
Adam Williams
Senior Director of Digital Solution Platforms, Iron Mountain

Built by developers, for developers

The document model maps to how you think and code
View Documentation
Model Data
Deploy a free database in seconds through the Atlas CLI, Atlas User Interface, and Atlas Administration API. Or get started locally with MongoDB Community.
Query Data
Take advantage of a simple and expressive query API to retrieve and modify documents in a single collection or join across collections. Optimize your queries with many index types — no matter how deeply nested the fields.
Transform & Analyze Data
Go beyond data retrieval and transform data in place – no ETL or duplication needed – with MongoDB's aggregation pipeline. Use results to populate materialized views, power reporting dashboards, and integrate with data engineering pipelines.
Model Data
Deploy a free database in seconds through the Atlas CLI, Atlas User Interface, and Atlas Administration API. Or get started locally with MongoDB Community.
Shell
Aliased JavaScript
Query Data
Take advantage of a simple and expressive query API to retrieve and modify documents in a single collection or join across collections. Optimize your queries with many index types — no matter how deeply nested the fields.
Shell
Aliased JavaScript
Transform & Analyze Data
Go beyond data retrieval and transform data in place – no ETL or duplication needed – with MongoDB's aggregation pipeline. Use results to populate materialized views, power reporting dashboards, and integrate with data engineering pipelines.
Shell
Aliased JavaScript
Shell
Aliased JavaScript
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Docs

Reference manuals, articles, and code samples — all the technical documentation you need to start, configure, and run MongoDB.

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Boots
Volvo Connect
Intuit
Keller Williams
Bendigo & Adelaide Bank
Simplifying the tech stack with MongoDB Atlas
“Where possible, we don’t want to fragment the technology stack. We can do everything we need to do from within MongoDB, which means we don’t have to bring in third-party applications.”
Steve Westgarth
Head of Engineering, Boots
Read Case Study
Scaling with MongoDB Atlas
“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.”
Erik Wernqvist
Lead Solution Architect, Volvo Group Connected Solutions (VGCS)
Automating compliance with MongoDB Atlas
“The migration was incredibly easy and only required a switch of the endpoint to the new MongoDB Cluster, so we were in full production within a week. We created a list of all features we were looking for with the migration, and we successfully implemented them with minimal development time.”
Barry Ruffner
Senior Software Engineer, Intuit
Innovating faster with MongoDB Atlas
“We made the decision to give our developers the best way to work with data — freeing developers to develop — by letting the experts at MongoDB manage the data clusters and machines for us.”
Jim McClarty
Software Architect, Keller Williams
Legacy modernization with MongoDB Atlas
“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.”
Dan Corboy
Cloud Engineer, Bendigo and Adelaide Bank

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Works seamlessly with your tech stack
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