Apache NiFi vs EMQ

Overview

EMQX

Stacks34

Followers109

Votes6

GitHub Stars15.4K

Forks2.4K

Apache NiFi

Stacks393

Followers692

Votes65

Apache NiFi vs EMQ: What are the differences?

Apache NiFi and EMQ are two popular technologies used for data processing and messaging in the world of big data. Below are the key differences between Apache NiFi and EMQ:

Architecture: Apache NiFi follows a flow-based programming paradigm where data is processed by connecting predefined processors in a flow. On the other hand, EMQ is a distributed and scalable MQTT broker that follows a publish/subscribe messaging pattern.
Use Cases: Apache NiFi is widely used for data ingestion, routing, transformation, and processing tasks. It is particularly suitable for building data pipelines and ETL processes. EMQ, on the other hand, is primarily used for real-time messaging applications such as IoT and M2M communication.
Scalability: Apache NiFi can be scaled horizontally by adding more nodes to the cluster. This allows for high availability and increased processing capacity. EMQ is inherently designed for scalability and can handle a large number of concurrent connections efficiently.
Integration: Apache NiFi provides a rich set of processors for integrating with various data sources and destinations, including databases, APIs, and IoT devices. EMQ seamlessly integrates with MQTT clients and brokers, making it easy to build MQTT-based applications.
Monitoring and Management: Apache NiFi comes with a user-friendly web interface that allows users to monitor data flows, track performance metrics, and manage the system. EMQ also provides a web dashboard for monitoring MQTT connections, message rates, and broker status.
Community and Support: Apache NiFi has a large and active community with extensive documentation, tutorials, and community-contributed processors. EMQ, being primarily focused on MQTT, has a niche community but offers commercial support options for enterprise users.

In Summary, Apache NiFi is ideal for data processing and ETL tasks with a flow-based programming model, while EMQ is best suited for real-time messaging applications using MQTT protocol.

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Detailed Comparison

EMQX	Apache NiFi
EMQX is a cloud-native, MQTT-based, IoT messaging platform designed for high reliability and massive scale. Licensed under the Apache Version 2.0, EMQX is 100% compliant with MQTT 5.0 and 3.x standard protocol specifications.	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.
Scale to 100 million concurrent MQTT connections with a single EMQX 5.0 cluster./Licensed under the Apache Version 2.0, 100% compliant with MQTT 5.0 and 3.x standard protocol specifications for better scalability, security, and reliability./Move and process millions of MQTT messages per second in a single broker./Guarantee sub-millisecond latency in message delivery with the soft real-time runtime./Achieve high availability and horizontal scalability with a masterless distributed architecture./Easy to deploy on-premises and in public clouds with Kubernetes Operator and Terraform.	Web-based user interface; Highly configurable; Data Provenance; Designed for extension; Secure
Statistics
GitHub Stars 15.4K	GitHub Stars -
GitHub Forks 2.4K	GitHub Forks -
Stacks 34	Stacks 393
Followers 109	Followers 692
Votes 6	Votes 65
Pros & Cons
Pros 3 QoS 2 2 Clusters 1 Plugins	Pros 17 Visual Data Flows using Directed Acyclic Graphs (DAGs) 8 Free (Open Source) 7 Simple-to-use 5 Scalable horizontally as well as vertically 5 Reactive with back-pressure Cons 2 Memory-intensive 2 HA support is not full fledge 1 Kkk
Integrations
Linux Cassandra Kafka MongoDB	MongoDB Amazon SNS Amazon S3 Linux Amazon SQS Kafka Apache Hive macOS

What are some alternatives to EMQX, Apache NiFi?

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

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

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 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

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

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 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

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

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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Apache NiFi vs EMQ: What are the differences?

Apache NiFi and EMQ are two popular technologies used for data processing and messaging in the world of big data. Below are the key differences between Apache NiFi and EMQ:

Architecture: Apache NiFi follows a flow-based programming paradigm where data is processed by connecting predefined processors in a flow. On the other hand, EMQ is a distributed and scalable MQTT broker that follows a publish/subscribe messaging pattern.
Use Cases: Apache NiFi is widely used for data ingestion, routing, transformation, and processing tasks. It is particularly suitable for building data pipelines and ETL processes. EMQ, on the other hand, is primarily used for real-time messaging applications such as IoT and M2M communication.
Scalability: Apache NiFi can be scaled horizontally by adding more nodes to the cluster. This allows for high availability and increased processing capacity. EMQ is inherently designed for scalability and can handle a large number of concurrent connections efficiently.
Integration: Apache NiFi provides a rich set of processors for integrating with various data sources and destinations, including databases, APIs, and IoT devices. EMQ seamlessly integrates with MQTT clients and brokers, making it easy to build MQTT-based applications.
Monitoring and Management: Apache NiFi comes with a user-friendly web interface that allows users to monitor data flows, track performance metrics, and manage the system. EMQ also provides a web dashboard for monitoring MQTT connections, message rates, and broker status.
Community and Support: Apache NiFi has a large and active community with extensive documentation, tutorials, and community-contributed processors. EMQ, being primarily focused on MQTT, has a niche community but offers commercial support options for enterprise users.

In Summary, Apache NiFi is ideal for data processing and ETL tasks with a flow-based programming model, while EMQ is best suited for real-time messaging applications using MQTT protocol.