Docker Compose vs Portworx

Overview

Docker Compose

Stacks22.3K

Followers16.5K

Votes501

GitHub Stars36.4K

Forks5.5K

Portworx

Stacks21

Followers58

Votes0

GitHub Stars271

Forks84

Docker Compose vs Portworx: What are the differences?

What is Docker Compose? Define and run multi-container applications with Docker. 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.

What is Portworx? Manage any database or stateful service on any infrastructure using any container scheduler. It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments.

Docker Compose and Portworx can be categorized as "Container" tools.

Docker Compose and Portworx are both open source tools. It seems that Docker Compose with 17.4K GitHub stars and 2.7K forks on GitHub has more adoption than Portworx with 198 GitHub stars and 34 GitHub forks.

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Detailed Comparison

Docker Compose	Portworx
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.	It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments.
-	Data Mobility; Backup, recovery, migration made easy; High Availability; Scheduler-based Automation; Data Security; Anything, Anywhere.
Statistics
GitHub Stars 36.4K	GitHub Stars 271
GitHub Forks 5.5K	GitHub Forks 84
Stacks 22.3K	Stacks 21
Followers 16.5K	Followers 58
Votes 501	Votes 0
Pros & Cons
Pros 123 Multi-container descriptor 110 Fast development environment setup 79 Easy linking of containers 68 Simple yaml configuration 60 Easy setup Cons 9 Tied to single machine 5 Still very volatile, changing syntax often	No community feedback yet
Integrations
Docker	Kubernetes Docker Nomad Microsoft Azure Google Cloud Platform Mesosphere IBM DB2

What are some alternatives to Docker Compose, Portworx?

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

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 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.

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

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.