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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Spread vs Tutum

Spread vs Tutum

OverviewComparisonAlternatives

Overview

Tutum
Tutum
Stacks61
Followers74
Votes235
Spread
Spread
Stacks19
Followers26
Votes0
GitHub Stars1.8K
Forks77

Spread vs Tutum: What are the differences?

1. Scalability: One key difference between Spread and Tutum is their approach to scalability. Spread is designed to efficiently scale your applications across a large number of machines, making it ideal for managing large-scale deployments. On the other hand, Tutum focuses more on simplifying the deployment and management of containerized applications, with a strong emphasis on ease of use for developers and operators.

2. Integration with Docker Swarm: Another significant difference is in their integration with Docker Swarm. Spread is tightly integrated with Docker Swarm, allowing users to easily manage large clusters of Docker containers. Tutum, on the other hand, provides a more user-friendly interface for managing containers and applications, but lacks the deep integration with Docker Swarm that Spread offers.

3. Feature Set: Spread offers a more comprehensive feature set for managing and scaling applications, including advanced scheduling and orchestration capabilities. Tutum, while simpler to use, may lack some of the more advanced features that Spread provides for managing complex containerized environments.

4. Community Support: Spread has a strong community of users and contributors who actively develop and support the platform. Tutum, being a newer platform, may have a smaller community and less extensive support resources available.

5. Customization Options: Spread provides more customization options for fine-tuning the behavior of your application deployments, while Tutum focuses on providing a more streamlined and user-friendly experience with fewer configuration options.

6. Target Audience: Spread is targeted towards users who require a high level of control and flexibility in managing their applications, especially in large-scale environments. Tutum, on the other hand, is aimed at users who prioritize ease of use and simplicity in deploying and managing containerized applications.

In Summary, Spread and Tutum differ in terms of scalability, Docker Swarm integration, feature set, community support, customization options, and target audience.

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Detailed Comparison

Tutum
Tutum
Spread
Spread

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.

Redspread is a command line tool that builds and deploys a Docker project to a Kubernetes cluster in one command.

Deploy from Docker Hub; Free private Docker registry; CLI Tool; Private Links; Dynamic Links; RESTful API; Edit & Redeploy; Jumpstarts & Quickstarts; Webhooks; Bring your own node; Data volumes; Amazon Web Services; Digital Ocean; Microsoft Azure;
-
Statistics
GitHub Stars
-
GitHub Stars
1.8K
GitHub Forks
-
GitHub Forks
77
Stacks
61
Stacks
19
Followers
74
Followers
26
Votes
235
Votes
0
Pros & Cons
Pros
  • 35
    Awesome user interface
  • 28
    Free private docker registry
  • 24
    Its super easy
  • 24
    Docker public index integration
  • 21
    Friendly support
No community feedback yet
Integrations
Docker
Docker
MongoDB
MongoDB
MariaDB
MariaDB
MySQL
MySQL
DigitalOcean
DigitalOcean
Memcached
Memcached
RabbitMQ
RabbitMQ
PostgreSQL
PostgreSQL
Riak
Riak
WordPress
WordPress
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Tutum, Spread?

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 Compose

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

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.

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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