Compare the Top Container Management Software that integrates with Apache Spark as of June 2025

This a list of Container Management software that integrates 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 is Container Management Software for Apache Spark?

Container management software platforms help organizations deploy, manage, and scale containerized applications across multiple environments. These platforms streamline the orchestration of containers, allowing businesses to automate the deployment, scaling, and operation of application containers. They typically support Kubernetes, Docker, or other container orchestration technologies to manage clusters of containers. Container management platforms improve efficiency by enabling developers to focus on building applications rather than worrying about the underlying infrastructure. They also provide monitoring, logging, and security features to ensure that applications run smoothly and securely in production. Compare and read user reviews of the best Container Management software for Apache Spark currently available using the table below. This list is updated regularly.

  • 1
    Kubernetes

    Kubernetes

    Kubernetes

    Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.
    Starting Price: Free
  • 2
    Apache Mesos

    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.
  • 3
    HPE Ezmeral

    HPE Ezmeral

    Hewlett Packard Enterprise

    Run, manage, control and secure the apps, data and IT that run your business, from edge to cloud. HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations. Modernize your apps. Simplify your Ops. And harness data to go from insights to impact. Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases.
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