Weave vs dotmesh

Overview

Weave

Stacks50

Followers72

Votes7

dotmesh

Stacks2

Followers7

Votes0

GitHub Stars537

Forks29

dotmesh vs Weave: What are the differences?

Developers describe dotmesh as "Capture, organize, and share application states using a git-like CLI". Dotmesh captures snapshots from stateful Docker and Kubernetes applications as ’datadots‘, and gives you the ability to label, store and share them as you would with version-controlled code. Dotmesh is an open–source primitive that can be accessed via CLI or API. On the other hand, Weave is detailed as "Weave creates a virtual network that connects Docker containers deployed across multiple hosts". Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.

dotmesh and Weave can be categorized as "Container" tools.

dotmesh and Weave are both open source tools. It seems that Weave with 5.57K GitHub stars and 517 forks on GitHub has more adoption than dotmesh with 472 GitHub stars and 17 GitHub forks.

🔥 Trending in Container Registry on StackShare

SpinKube Container Registry

Hyper-efficient serverless on Kubernetes, powered by WebAssembly

Try it View Docs Alternatives

Try

0

6

Detailed Comparison

Weave	dotmesh
Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.	Dotmesh captures snapshots from stateful Docker and Kubernetes applications as ’datadots‘, and gives you the ability to label, store and share them as you would with version-controlled code. Dotmesh is an open–source primitive that can be accessed via CLI or API.
Virtual Ethernet Switch;Application isolation;Security;Host network integration;Service export;Service import;Multi-cloud networking;Multi-hop routing;Dynamic topologies;Container mobility;Fault tolerance	-
Statistics
GitHub Stars -	GitHub Stars 537
GitHub Forks -	GitHub Forks 29
Stacks 50	Stacks 2
Followers 72	Followers 7
Votes 7	Votes 0
Pros & Cons
Pros 3 Easy setup 3 Seamlessly with mesos/marathon 1 Seamless integration with application layer	No community feedback yet
Integrations
Docker boot2docker	Kubernetes Docker Docker Compose

What are some alternatives to Weave, dotmesh?

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.

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.