Best Containers as a Service (CaaS) for MongoDB Atlas

Compare the Top Containers as a Service (CaaS) that integrates with MongoDB Atlas as of November 2025

This a list of Containers as a Service (CaaS) that integrates with MongoDB Atlas. Use the filters on the left to add additional filters for products that have integrations with MongoDB Atlas. View the products that work with MongoDB Atlas in the table below.

What is Containers as a Service (CaaS) for MongoDB Atlas?

Containers as a Service (CaaS) is a cloud-based service that allows users to manage and deploy containerized applications and services without needing to manage the underlying infrastructure. CaaS platforms provide a container orchestration environment, often using Kubernetes or similar tools, to automate the deployment, scaling, and management of containers. These platforms allow businesses to run microservices and cloud-native applications with ease, offering benefits such as scalability, portability, and resource efficiency. CaaS simplifies the process of container management, making it easier for developers to focus on building and deploying applications rather than managing infrastructure. Compare and read user reviews of the best Containers as a Service (CaaS) for MongoDB Atlas currently available using the table below. This list is updated regularly.

  • 1
    Amazon Elastic Container Service (Amazon ECS)
    Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
  • 2
    Google Kubernetes Engine (GKE)
    Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.
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