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.
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.
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.
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.
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.
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.
Documents have the versatility to support many different data models and use cases, including key-value, relationships, graph, and geospatial data.
MongoDB supports multi-document transactions, combining the speed, flexibility, and power of the document model with ACID data integrity guarantees.
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.
MongoDB provides the capabilities to deliver insight-driven experiences such as hyper-personalized ecommerce experiences at application speed.
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-to-cloud data synchronization simplifies application development and keeps your data up-to-date across devices, users, and your cloud backend.
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.
MongoDB was named a leader in The Forrester Wave™: Translytical Data Platforms, Q4 2022.
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