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

Spread vs XMPP

OverviewComparisonAlternatives

Overview

Spread
Spread
Stacks19
Followers26
Votes0
GitHub Stars1.8K
Forks77
XMPP
XMPP
Stacks70
Followers138
Votes0

Spread vs XMPP: What are the differences?

What is Spread? *CLI to deploy Docker to Kubernetes in one command *. Redspread is a command line tool that builds and deploys a Docker project to a Kubernetes cluster in one command.

What is XMPP? An open XML technology for real-time communication. It is a set of open technologies for instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.

Spread and XMPP can be categorized as "Container" tools.

Spread is an open source tool with 1.86K GitHub stars and 84 GitHub forks. Here's a link to Spread's open source repository on GitHub.

Codestera, Open Source Politics, and unfoldingWord are some of the popular companies that use Spread, whereas XMPP is used by Mendix, Vidyo.io, and Relayo. Spread has a broader approval, being mentioned in 3 company stacks & 14 developers stacks; compared to XMPP, which is listed in 7 company stacks and 5 developer stacks.

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Detailed Comparison

Spread
Spread
XMPP
XMPP

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

It is a set of open technologies for instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.

Statistics
GitHub Stars
1.8K
GitHub Stars
-
GitHub Forks
77
GitHub Forks
-
Stacks
19
Stacks
70
Followers
26
Followers
138
Votes
0
Votes
0
Integrations
Docker
Docker
Kubernetes
Kubernetes
Java
Java
Python
Python
JavaScript
JavaScript

What are some alternatives to Spread, XMPP?

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Tutum

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.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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