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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Mesos vs Mesosphere

Apache Mesos vs Mesosphere

OverviewComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
Mesosphere
Mesosphere
Stacks80
Followers108
Votes6

Apache Mesos vs Mesosphere: What are the differences?

Introduction:

Apache Mesos and Mesosphere are both software platforms that are used for managing and coordinating the resources in a data center or cloud environment. While they have some similarities, there are key differences between the two.

  1. Architecture: Apache Mesos is a distributed system kernel that provides efficient resource isolation and sharing across multiple applications. It acts as a layer between the hardware and the applications, providing a unified interface for managing and scheduling resources. Mesosphere, on the other hand, is a platform built on top of Apache Mesos that provides additional tools and services for managing and deploying applications in a distributed environment.

  2. Scalability: Apache Mesos is highly scalable and can handle thousands of nodes and tasks in a cluster. It is designed to be fault-tolerant and can maintain high availability even in the face of failures. Mesosphere, with its additional tools and services, provides enhanced scalability features and allows for the management of large-scale clusters with ease.

  3. Application Frameworks: Apache Mesos provides a framework for building and running distributed applications, but it does not offer built-in support for higher-level application frameworks. Mesosphere, on the other hand, comes with a number of application frameworks pre-integrated, such as Apache Hadoop, Apache Spark, and Apache Kafka. This makes it easier to deploy and manage these frameworks on top of Mesos.

  4. Enterprise Features: Mesosphere is designed with enterprise features in mind. It provides a number of tools and services for managing and deploying applications in a production environment, such as service discovery, load balancing, and monitoring. These features are not available out-of-the-box with Apache Mesos.

  5. Commercial Support: Mesosphere offers commercial support for its platform, including training, consulting, and 24/7 technical support. Apache Mesos, being an open-source project, relies more on community support and does not provide the same level of commercial support as Mesosphere.

  6. Ease of Use: Mesosphere provides a user-friendly web-based interface for managing and monitoring applications running on Mesos clusters. It also offers a command-line interface and APIs for programmatically interacting with the platform. Apache Mesos, while powerful, requires more technical expertise to set up and manage.

In summary, Apache Mesos provides the core distributed systems capabilities for resource management and scheduling, while Mesosphere builds on top of it to provide additional tools and services for managing and deploying applications. Mesosphere also offers enterprise features, commercial support, and a more user-friendly interface compared to Apache Mesos.

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Detailed Comparison

Apache Mesos
Apache Mesos
Mesosphere
Mesosphere

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
Built on top of open source technology;Grow to tens of thousands of nodes effortlessly while dynamically allocating resources with ease.;Mesosphere keeps your apps running by rebalancing resources and restarting failed tasks automatically.;Mesosphere packs each server with multiple apps, increasing resource utilization.;
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
306
Stacks
80
Followers
418
Followers
108
Votes
31
Votes
6
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    High-Available
  • 1
    Elastic Distributed System
Cons
  • 1
    Depends on Zookeeper
  • 1
    Not for long term
Pros
  • 6
    Devops
Integrations
Apache Aurora
Apache Aurora
Amazon EC2
Amazon EC2
OpenStack
OpenStack
Docker
Docker
Red Hat OpenShift
Red Hat OpenShift

What are some alternatives to Apache Mesos, Mesosphere?

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

YARN Hadoop

YARN Hadoop

Its fundamental idea is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM).

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

kops

kops

It helps you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes clusters from the command line. AWS (Amazon Web Services) is currently officially supported, with GCE in beta support , and VMware vSphere in alpha, and other platforms planned.

Apache Aurora

Apache Aurora

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

Elastic Apache Mesos

Elastic Apache Mesos

Elastic Apache Mesos is a web service that automates the creation of Apache Mesos clusters on Amazon Elastic Compute Cloud (EC2). It provisions EC2 instances, installs dependencies including Apache ZooKeeper and HDFS, and delivers you a cluster with all the services running.

Peloton

Peloton

A Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization. Designed for web-scale companies with millions of containers and tens of thousands of nodes.

Kocho

Kocho

Kocho provides a set of mechanisms to bootstrap AWS nodes that must follow a specific configuration with CoreOS. It sets up fleet meta-data, and patched versions of fleet, etcd, and docker when using Yochu.

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