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  4. Message Queue
  5. Apache NiFi vs ejabberd

Apache NiFi vs ejabberd

OverviewComparisonAlternatives

Overview

ejabberd
ejabberd
Stacks33
Followers48
Votes0
GitHub Stars6.5K
Forks1.5K
Apache NiFi
Apache NiFi
Stacks393
Followers692
Votes65

Apache NiFi vs ejabberd: What are the differences?

Apache NiFi: A reliable system to process and distribute data. An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic; ejabberd: A scalable and robust instant messaging server. It is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance.

Apache NiFi and ejabberd are primarily classified as "Stream Processing" and "Message Queue" tools respectively.

Some of the features offered by Apache NiFi are:

  • Web-based user interface
  • Highly configurable
  • Data Provenance

On the other hand, ejabberd provides the following key features:

  • Cross-platform
  • Administrator-friendly
  • Internationalized

ejabberd is an open source tool with 4.18K GitHub stars and 1.25K GitHub forks. Here's a link to ejabberd's open source repository on GitHub.

According to the StackShare community, Apache NiFi has a broader approval, being mentioned in 10 company stacks & 12 developers stacks; compared to ejabberd, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

ejabberd
ejabberd
Apache NiFi
Apache NiFi

It is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance.

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Cross-platform; Administrator-friendly; Internationalized; Fault-tolerant
Web-based user interface; Highly configurable; Data Provenance; Designed for extension; Secure
Statistics
GitHub Stars
6.5K
GitHub Stars
-
GitHub Forks
1.5K
GitHub Forks
-
Stacks
33
Stacks
393
Followers
48
Followers
692
Votes
0
Votes
65
Pros & Cons
No community feedback yet
Pros
  • 17
    Visual Data Flows using Directed Acyclic Graphs (DAGs)
  • 8
    Free (Open Source)
  • 7
    Simple-to-use
  • 5
    Reactive with back-pressure
  • 5
    Scalable horizontally as well as vertically
Cons
  • 2
    Memory-intensive
  • 2
    HA support is not full fledge
  • 1
    Kkk
Integrations
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Mac OS X
Mac OS X
MongoDB
MongoDB
Amazon SNS
Amazon SNS
Amazon S3
Amazon S3
Linux
Linux
Amazon SQS
Amazon SQS
Kafka
Kafka
Apache Hive
Apache Hive
macOS
macOS

What are some alternatives to ejabberd, Apache NiFi?

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.

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.

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.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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