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  1. Stackups
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  3. Container Registry
  4. Container Tools
  5. Tutum vs kaniko

Tutum vs kaniko

OverviewComparisonAlternatives

Overview

Tutum
Tutum
Stacks61
Followers74
Votes235
kaniko
kaniko
Stacks44
Followers79
Votes4
GitHub Stars15.7K
Forks1.5K

Tutum vs kaniko: What are the differences?

# Introduction
Tutum and Kaniko are two popular tools in the world of containerization and container management. While both serve similar purposes, there are key differences that set them apart in terms of functionality and usage.

1. **Build Context**: Tutum utilizes a Dockerfile with the entire context, including source code, dependencies, and configuration files, to build an image. On the other hand, Kaniko enables users to build container images from a Dockerfile without needing a Docker daemon or root access, making it suitable for secure and efficient image building in environments where Docker is restricted.

2. **Image Layering**: Tutum uses Docker's layering feature to create container images, which can result in larger image sizes due to multiple intermediate layers. In contrast, Kaniko employs a single-stage build process, eliminating unnecessary intermediate layers and producing smaller, more streamlined container images.

3. **Parallelism**: Kaniko supports parallel building by default, allowing for faster image builds by utilizing multiple CPU cores efficiently. In contrast, Tutum does not have built-in support for parallel building, which may lead to longer build times for large and complex projects.

4. **Caching Mechanism**: Tutum relies heavily on Docker's caching mechanism to speed up subsequent builds by reusing previously built layers. Kaniko, on the other hand, offers a more customizable caching mechanism that allows users to control caching at different stages of the build process, enhancing build performance and flexibility.

5. **Build Environment**: Tutum requires a running Docker Daemon on the host system to build container images, which may pose security risks and resource constraints in certain environments. Kaniko, being a tool that operates inside an unprivileged container, eliminates the need for a Docker Daemon and provides a more secure and isolated build environment.

6. **Compatibility**: Tutum is tightly integrated with Docker and relies on Docker's APIs and features for building and managing container images. In contrast, Kaniko is a standalone tool that does not depend on Docker or Docker registries, making it compatible with various container orchestration platforms and workflows beyond the Docker ecosystem.

In Summary, Tutum and Kaniko differ in their build context, image layering, parallelism, caching mechanism, build environment, and compatibility, offering users unique features and advantages in container image management and deployment.

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Detailed Comparison

Tutum
Tutum
kaniko
kaniko

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.

A tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.

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;
Build container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster
Statistics
GitHub Stars
-
GitHub Stars
15.7K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
61
Stacks
44
Followers
74
Followers
79
Votes
235
Votes
4
Pros & Cons
Pros
  • 35
    Awesome user interface
  • 28
    Free private docker registry
  • 24
    Its super easy
  • 24
    Docker public index integration
  • 21
    Friendly support
Pros
  • 3
    No need for docker demon
  • 1
    Automation using jules
Cons
  • 1
    Slow compared to docker
Integrations
Docker
Docker
MongoDB
MongoDB
MariaDB
MariaDB
MySQL
MySQL
DigitalOcean
DigitalOcean
Memcached
Memcached
RabbitMQ
RabbitMQ
PostgreSQL
PostgreSQL
Riak
Riak
WordPress
WordPress
Kubernetes
Kubernetes
Docker
Docker
Google Cloud Container Builder
Google Cloud Container Builder

What are some alternatives to Tutum, kaniko?

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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