StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. API Tools
  4. Service Discovery
  5. Apache Mesos vs Consul

Apache Mesos vs Consul

OverviewComparisonAlternatives

Overview

Consul
Consul
Stacks1.2K
Followers1.5K
Votes213
GitHub Stars29.5K
Forks4.5K
Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K

Apache Mesos vs Consul: What are the differences?

Apache Mesos and Consul are both popular tools in the DevOps and infrastructure management space. Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications. On the other hand, Consul is a service networking tool that enables secure communication between services in a distributed environment.

  1. Architecture: Apache Mesos follows a master-slave architecture, where the master node manages resources and delegates tasks to the slave nodes. In contrast, Consul uses a distributed, peer-to-peer architecture where each node can act as both a client and a server, enabling seamless communication between nodes without a centralized master node.

  2. Focus: Apache Mesos focuses on resource management and task scheduling, making it ideal for large-scale distributed systems requiring efficient resource utilization. Consul, on the other hand, concentrates on service discovery, key-value store, and health checking, providing a robust foundation for building resilient and scalable microservices architectures.

  3. Use Cases: Apache Mesos is commonly used in environments where there is a need to manage a large number of diverse workloads efficiently, such as in data centers or cloud environments. Consul is preferred in scenarios where service discovery, health monitoring, and distributed key-value store functionalities are critical, typically in microservices-based applications or complex network topologies.

  4. Scalability: Apache Mesos is highly scalable, supporting thousands of nodes and containers, making it suitable for large-scale deployments. Consul, while scalable, may face limitations in extremely large-scale environments due to the peer-to-peer nature of its architecture.

  5. Consistency: Apache Mesos guarantees strong consistency in resource allocation and task scheduling across the cluster, ensuring reliability and predictability in distributed application management. Consul, on the other hand, offers eventual consistency in its key-value store, which may result in temporary inconsistencies that need to be handled by applications.

  6. Community Support: Apache Mesos has a large and active open-source community backing it, contributing to its continuous development and enhancement. Consul also has a strong community following, providing support and resources for users, but the scale and diversity of the Mesos community may offer more comprehensive support options in some cases.

In Summary, Apache Mesos excels in resource management and scalability for large distributed systems, while Consul shines in service networking, discovery, and resilience for microservices architectures.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Consul
Consul
Apache Mesos
Apache Mesos

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

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

Service Discovery - Consul makes it simple for services to register themselves and to discover other services via a DNS or HTTP interface. External services such as SaaS providers can be registered as well.;Health Checking - Health Checking enables Consul to quickly alert operators about any issues in a cluster. The integration with service discovery prevents routing traffic to unhealthy hosts and enables service level circuit breakers.;Key/Value Storage - A flexible key/value store enables storing dynamic configuration, feature flagging, coordination, leader election and more. The simple HTTP API makes it easy to use anywhere.;Multi-Datacenter - Consul is built to be datacenter aware, and can support any number of regions without complex configuration.
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
Statistics
GitHub Stars
29.5K
GitHub Stars
5.3K
GitHub Forks
4.5K
GitHub Forks
1.7K
Stacks
1.2K
Stacks
306
Followers
1.5K
Followers
418
Votes
213
Votes
31
Pros & Cons
Pros
  • 61
    Great service discovery infrastructure
  • 35
    Health checking
  • 29
    Distributed key-value store
  • 26
    Monitoring
  • 23
    High-availability
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
Integrations
No integrations available
Apache Aurora
Apache Aurora

What are some alternatives to Consul, Apache Mesos?

Eureka

Eureka

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

Zookeeper

Zookeeper

A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

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.

etcd

etcd

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

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.

Mesosphere

Mesosphere

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.

Keepalived

Keepalived

The main goal of this project is to provide simple and robust facilities for loadbalancing and high-availability to Linux system and Linux based infrastructures.

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.

SkyDNS

SkyDNS

SkyDNS is a distributed service for announcement and discovery of services. It leverages Raft for high-availability and consensus, and utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights (more info here: http://blog.gopheracademy.com/skydns).

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).

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana