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  5. XMPP vs dotmesh

XMPP vs dotmesh

OverviewComparisonAlternatives

Overview

XMPP
XMPP
Stacks71
Followers138
Votes0
dotmesh
dotmesh
Stacks2
Followers7
Votes0
GitHub Stars537
Forks29

XMPP vs dotmesh: What are the differences?

  1. Scalability: XMPP is designed for real-time communication and is great for one-on-one or small group chats. In contrast, dotmesh is focused on data synchronization and versioning, making it more suitable for managing and versioning large datasets across multiple environments.
  2. Use Case: XMPP is primarily used for instant messaging and presence information, while dotmesh is used for synchronizing data in distributed systems, enabling collaboration and consistency across multiple nodes.
  3. Data Handling: XMPP relies on XML for data exchange, which can lead to overhead and complexity when handling large amounts of data. On the other hand, dotmesh uses Git-like versioning for data, enabling efficient storage and retrieval of changes over time.
  4. Security Model: XMPP provides end-to-end encryption for message transmission, ensuring secure communication between users. In comparison, dotmesh focuses on providing secure data synchronization and access control mechanisms for managing sensitive data across clusters.
  5. Community Support: XMPP has a large and active community that constantly develops extensions and plugins for various use cases. Dotmesh, being a newer technology, is still growing its community but focuses on providing robust solutions for data synchronization and version control.
  6. Protocol Overhead: XMPP includes a substantial amount of protocol overhead for messaging and presence information exchange, which can impact performance in large-scale deployments. Dotmesh minimizes protocol overhead by efficiently managing data synchronization and versioning, enhancing performance in distributed systems.

In Summary, XMPP and dotmesh differ significantly in their scalability, use cases, data handling, security models, community support, and protocol overhead.

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Detailed Comparison

XMPP
XMPP
dotmesh
dotmesh

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
537
GitHub Forks
-
GitHub Forks
29
Stacks
71
Stacks
2
Followers
138
Followers
7
Votes
0
Votes
0
Integrations
Java
Java
Python
Python
JavaScript
JavaScript
Kubernetes
Kubernetes
Docker
Docker
Docker Compose
Docker Compose

What are some alternatives to XMPP, dotmesh?

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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