Docker Hub vs Flocker

Overview

Flocker

Stacks13

Followers59

Votes15

GitHub Stars3.4K

Forks288

Docker Hub

Stacks226

Followers262

Votes7

Docker Hub vs Flocker: What are the differences?

Docker Hub: Build and Ship any Application Anywhere. It is the world's easiest way to create, manage, and deliver your teams' container applications. It is the perfect home for your teams' applications; Flocker: Run your databases in Docker and make them as portable as the rest of your app. 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.

Docker Hub and Flocker belong to "Container Tools" category of the tech stack.

Flocker is an open source tool with 3.19K GitHub stars and 288 GitHub forks. Here's a link to Flocker's open source repository on GitHub.

Detailed Comparison

Flocker	Docker Hub
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.	It is the world's easiest way to create, manage, and deliver your teams' container applications. It is the perfect home for your teams' applications.
Move containers and their data together between hosts Run multiple containers on multiple machines Define your application as a set of connected containers Easily move between dev, staging and production	-
Statistics
GitHub Stars 3.4K	GitHub Stars -
GitHub Forks 288	GitHub Forks -
Stacks 13	Stacks 226
Followers 59	Followers 262
Votes 15	Votes 7
Pros & Cons
Pros 4 Open-Source 3 Easily manage Docker containers with Data 2 Only requires docker 2 Easy setup 2 Multi-host docker-compose support	Pros 2 Uses a very familiar collaboration model as GitHub, the 1 Provides public and private repositories 1 Quickly creates organizations, add users or create grou 1 Allows users to set permissions to restrict access or s 1 Fairly inexpensive with usage based pricing Cons 1 Lacks LDAP, SAML and OAuth support 1 Lacks fine grain access control 1 Does not provide any insight into the registry usage
Integrations
Amazon EC2 Amazon EBS Docker Mesosphere Kubernetes Docker Compose Docker Swarm CoreOS	No integrations available

What are some alternatives to Flocker, Docker Hub?

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 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 Compose

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.

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 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

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

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

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

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.