For over a decade, MongoDB users have been deploying clusters for some of their most important workloads. We work with customers running MongoDB in a variety of environments, but there are three main environments that we see customers using:
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Globally distributed cloud clusters (Atlas and self-managed): Enterprises have been successfully running cloud-based applications — in multiple zones and regions — for 10-plus years. More recently, the deployment of globally distributed multi-cloud data clusters has provided tremendous value and flexibility for modern applications. The last two years of the pandemic resulted in an accelerated proliferation of cloud data clusters to support new application services and workloads. |
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On-premises clusters: Many leading companies and government institutions remain reliant on their on-premises systems for various reasons, including regulatory compliance, data governance, existing line-of-business application integrations, or legacy investments. |
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Edge clusters: Organizations also distribute workloads to edge systems to bring enterprise applications closer to data sources, such as local edge servers ingesting sensor data from IoT devices. This proximity to data at its source can deliver substantial business benefits, including improved response times and faster insights. |