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  1. Stackups
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  3. Background Jobs
  4. Message Queue
  5. Confluent vs VerneMQ

Confluent vs VerneMQ

OverviewComparisonAlternatives

Overview

VerneMQ
VerneMQ
Stacks31
Followers136
Votes6
Confluent
Confluent
Stacks337
Followers239
Votes14

VerneMQ vs Confluent: What are the differences?

Developers describe VerneMQ as "VerneMQ is a distributed IoT/MQTT message broker". VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.. On the other hand, Confluent is detailed as "We make a stream data platform to help companies harness their high volume real-time data streams". It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.

VerneMQ can be classified as a tool in the "Message Queue" category, while Confluent is grouped under "Stream Processing".

Some of the features offered by VerneMQ are:

  • Open Source, Apache 2 licensed
  • QoS 0, QoS 1, QoS 2
  • MQTT v5.0 fully implemented

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

  • Reliable
  • High-performance stream data platform
  • Manage and organize data from different sources.

VerneMQ is an open source tool with 1.82K GitHub stars and 192 GitHub forks. Here's a link to VerneMQ's open source repository on GitHub.

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Detailed Comparison

VerneMQ
VerneMQ
Confluent
Confluent

VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP. It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.

It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream

Open Source, Apache 2 licensed; QoS 0, QoS 1, QoS 2; MQTT v5.0 fully implemented; Basic Authentication and Authorization; Bridge Support; $SYS Tree for monitoring and reporting; TLS (SSL) Encryption; Websockets Support; Cluster Support with sophisticated self-healing mechanisms; Queue Migration; Prometheus Monitoring; Logging (Console, Files, Syslog); Reporting to Graphite; Extensible Plugin architecture (Erlang, Elixir, Lua); WebHooks Plugins; Multiple Sessions per ClientId; Shared Subscriptions; Proxy Protocol v1, v2;
Reliable; High-performance stream data platform; Manage and organize data from different sources.
Statistics
Stacks
31
Stacks
337
Followers
136
Followers
239
Votes
6
Votes
14
Pros & Cons
Pros
  • 1
    Fully open source clustering
  • 1
    Proxy Protocol support
  • 1
    MQTT v5 implementation
  • 1
    Open Source Message and Metadata Persistence
  • 1
    Open Source Plugin System
Pros
  • 4
    Free for casual use
  • 3
    Dashboard for kafka insight
  • 3
    No hypercloud lock-in
  • 2
    Zero devops
  • 2
    Easily scalable
Cons
  • 1
    Proprietary
Integrations
MySQL
MySQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Memcached
Memcached
Redis
Redis
Microsoft SharePoint
Microsoft SharePoint
Java
Java
Python
Python
Salesforce Sales Cloud
Salesforce Sales Cloud
Kafka Streams
Kafka Streams

What are some alternatives to VerneMQ, Confluent?

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.

Apache NiFi

Apache NiFi

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.

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.

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