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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Docker Compose vs Velero

Docker Compose vs Velero

OverviewComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Velero
Velero
Stacks28
Followers15
Votes0
GitHub Stars9.6K
Forks1.5K

Docker Compose vs Velero: What are the differences?

  1. Scalability: One key difference between Docker Compose and Velero is their focus on scalability. Docker Compose is primarily designed for single host development environments, while Velero specializes in backup and restore operations for Kubernetes clusters, making it more suitable for larger, scalable applications.

  2. Purpose: Docker Compose is focused on defining and running multi-container Docker applications, allowing developers to easily orchestrate their development environment. In contrast, Velero is dedicated to providing backup and recovery solutions for Kubernetes resources, ensuring the protection of data in production environments.

  3. Integration: While Docker Compose is integrated with Docker Engine and plays a crucial role in managing containers on a single host, Velero integrates seamlessly with Kubernetes clusters, enabling users to back up not only stateless applications but also persistent volumes and other cluster resources.

  4. Features: Docker Compose offers functionalities like defining services, networks, and volumes in a YAML file, allowing for easy deployment and management of multi-container applications. On the other hand, Velero provides features such as scheduled backups, incremental backups, and point-in-time restores, catering to the specific requirements of Kubernetes environments.

  5. Community Support: Docker Compose benefits from a vast community of developers and users contributing to its ongoing development and improvement. Velero, being a project maintained by the CNCF (Cloud Native Computing Foundation), enjoys strong community support, ensuring regular updates and enhancements to meet the evolving needs of Kubernetes users.

  6. Focus: Docker Compose focuses on simplifying the development and testing processes by facilitating the creation of multi-container applications and defining their environments efficiently. Velero, on the other hand, places a strong emphasis on data protection and disaster recovery in Kubernetes environments, providing robust backup solutions for critical applications and resources.

In Summary, Docker Compose and Velero differ in terms of scalability, purpose, integration, features, community support, and focus, catering to distinct needs in containerized environments.

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Detailed Comparison

Docker Compose
Docker Compose
Velero
Velero

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

It is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and persistent volumes.

-
Take backups of your cluster and restore in case of loss; Migrate cluster resources to other clusters; Replicate your production cluster to development and testing clusters
Statistics
GitHub Stars
36.4K
GitHub Stars
9.6K
GitHub Forks
5.5K
GitHub Forks
1.5K
Stacks
22.3K
Stacks
28
Followers
16.5K
Followers
15
Votes
501
Votes
0
Pros & Cons
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
No community feedback yet
Integrations
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Docker Compose, Velero?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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