HashiCorp Nomad vs Dokku

Struggling to choose between HashiCorp Nomad and Dokku? Both products offer unique advantages, making it a tough decision.

HashiCorp Nomad is a Development solution with tags like orchestration, scheduling, distributed-systems.

It boasts features such as Job Scheduling - Schedule batch, service and system jobs on a cluster, Service Discovery - Automatic service registration and DNS for services, Flexible Workloads - Support for Docker, executables, and custom workloads, Multi-Region Awareness - Spread jobs across regions and datacenters, Auto Scaling - Scale jobs up and down based on utilization, Failure Tolerance - Reschedule failed jobs and replace failed nodes, Resource Bin Packing - Optimize cluster resource utilization and pros including Easy cluster management and operation, Flexible workloads beyond just containers, Built-in service discovery and load balancing, Spread jobs across regions and clouds, Handle failures and optimize resource usage.

On the other hand, Dokku is a Development product tagged with docker, git, heroku, paas.

Its standout features include One-click deployments using Git, Simple horizontal scaling, Zero downtime deploys, Built-in support for common add-ons like databases, caching, etc, Heroku buildpacks support for easy language runtime configuration, SSH access for debugging and configuration, and it shines with pros like Free and open source, Lightweight and easy to install, Leverages Docker for fast deployment, Similar workflow to Heroku, Active community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

HashiCorp Nomad

HashiCorp Nomad

HashiCorp Nomad is an open-source workload orchestrator and scheduler designed for distributed, highly available applications. It uses a flexible scheduler to enable efficient utilization of resources across regions and clouds with support for bin packing, spreading, and reservations.

Categories:
orchestration scheduling distributed-systems

HashiCorp Nomad Features

  1. Job Scheduling - Schedule batch, service and system jobs on a cluster
  2. Service Discovery - Automatic service registration and DNS for services
  3. Flexible Workloads - Support for Docker, executables, and custom workloads
  4. Multi-Region Awareness - Spread jobs across regions and datacenters
  5. Auto Scaling - Scale jobs up and down based on utilization
  6. Failure Tolerance - Reschedule failed jobs and replace failed nodes
  7. Resource Bin Packing - Optimize cluster resource utilization

Pricing

  • Open Source
  • Enterprise Subscription

Pros

Easy cluster management and operation

Flexible workloads beyond just containers

Built-in service discovery and load balancing

Spread jobs across regions and clouds

Handle failures and optimize resource usage

Cons

Less mature and adopted than Kubernetes

Steep learning curve compared to traditional schedulers

Not as feature rich as Kubernetes for container workloads

No native support for orchestrating stateful workloads


Dokku

Dokku

Dokku is an open source Platform-as-a-Service that runs on a single server, allowing developers to easily deploy and manage applications in a similar way to Heroku. It is lightweight, easy to install, and uses Docker and Git under the hood.

Categories:
docker git heroku paas

Dokku Features

  1. One-click deployments using Git
  2. Simple horizontal scaling
  3. Zero downtime deploys
  4. Built-in support for common add-ons like databases, caching, etc
  5. Heroku buildpacks support for easy language runtime configuration
  6. SSH access for debugging and configuration

Pricing

  • Open Source

Pros

Free and open source

Lightweight and easy to install

Leverages Docker for fast deployment

Similar workflow to Heroku

Active community support

Cons

Limited to a single server

Not as feature rich as Heroku

Requires some command line usage

Steeper learning curve than fully managed PaaS