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 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 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 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.
Documents have the versatility to support many different data models and use cases, including key-value, relationships, graph, and geospatial data.
MongoDB was named a leader in The Forrester Wave™: Translytical Data Platforms, Q4 2022.
MongoDB Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems.
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