Flocker vs Kitematic

Overview

Flocker

Stacks13

Followers59

Votes15

GitHub Stars3.4K

Forks288

Kitematic

Stacks67

Followers116

Votes14

Flocker vs Kitematic: What are the differences?

Developers describe Flocker as "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. On the other hand, Kitematic is detailed as "The easiest way to start using Docker on your Mac". Simple Docker App management for Mac OS X.

Flocker and Kitematic can be primarily classified as "Container" tools.

"Open-Source" is the primary reason why developers consider Flocker over the competitors, whereas "I like it because it sucks" was stated as the key factor in picking Kitematic.

Flocker and Kitematic are both open source tools. It seems that Kitematic with 10.5K GitHub stars and 1.26K forks on GitHub has more adoption than Flocker with 3.19K GitHub stars and 287 GitHub forks.

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Detailed Comparison

Flocker	Kitematic
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.	Simple Docker App management for Mac OS X
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	Mac App with GUI for Docker;Create images from any folder with a Dockerfile in it;Configure environment variables;Check App logs;Easily terminal into apps;Restart apps
Statistics
GitHub Stars 3.4K	GitHub Stars -
GitHub Forks 288	GitHub Forks -
Stacks 13	Stacks 67
Followers 59	Followers 116
Votes 15	Votes 14
Pros & Cons
Pros 4 Open-Source 3 Easily manage Docker containers with Data 2 Multi-host docker-compose support 2 Great support from their team 2 Easy setup	Pros 8 I like it because it sucks 3 No command line, Docker in one app, gui, easy to set up 2 Good for first timer 1 Easy to get started
Integrations
Amazon EC2 Amazon EBS Docker Mesosphere Kubernetes Docker Compose Docker Swarm CoreOS	Docker

What are some alternatives to Flocker, Kitematic?

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.

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.