Best Container Engines for Apache Spark
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Compare the Top Container Engines that integrate with Apache Spark as of June 2025
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This a list of Container Engines that integrate with Apache Spark. Use the filters on the left to add additional filters for products that have integrations with Apache Spark. View the products that work with Apache Spark in the table below.
What are Container Engines for Apache Spark?
Container engines are software platforms that facilitate the creation, deployment, and management of containers in a computing environment. Containers are lightweight, portable, and consistent units of software that include everything needed to run an application, such as the code, libraries, and system tools. Container engines enable developers to package and isolate applications in a way that allows them to run uniformly across different environments, making them ideal for cloud, microservices, and DevOps workflows. These engines typically support features like container orchestration, scalability, resource management, and container lifecycle management. Compare and read user reviews of the best Container Engines for Apache Spark currently available using the table below. This list is updated regularly.
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Apache Mesos
Apache Software Foundation
Mesos is built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications (e.g., Hadoop, Spark, Kafka, Elasticsearch) with API’s for resource management and scheduling across entire datacenter and cloud environments. Native support for launching containers with Docker and AppC images.Support for running cloud native and legacy applications in the same cluster with pluggable scheduling policies. HTTP APIs for developing new distributed applications, for operating the cluster, and for monitoring. Built-in Web UI for viewing cluster state and navigating container sandboxes.
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