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  1. Stackups
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  3. AWS Greengrass vs Mosquitto

AWS Greengrass vs Mosquitto

OverviewComparisonAlternatives

Overview

Mosquitto
Mosquitto
Stacks140
Followers306
Votes14
AWS Greengrass
AWS Greengrass
Stacks25
Followers79
Votes0

AWS Greengrass vs Mosquitto: What are the differences?

AWS Greengrass and Mosquitto are both popular technologies used in the Internet of Things (IoT) field. While they both provide solutions for IoT devices, there are key differences between them that differentiate their functionalities and capabilities.
  1. Deployment and Scalability: AWS Greengrass is designed to enable local computing for IoT devices, which means it allows the deployment of AWS Lambda functions on edge devices. This capability enables the devices to process data locally and reduces the need for constant connection to the cloud. On the other hand, Mosquitto is an open-source MQTT broker that facilitates secure messaging for IoT devices. It focuses on enabling communication between devices and does not provide local computing capabilities like AWS Greengrass.

  2. Integration with Cloud Services: AWS Greengrass seamlessly integrates with various AWS services, such as AWS IoT Core, AWS IoT Analytics, and AWS Lambda. It allows easy data synchronization and communication between edge devices and cloud services, enabling sophisticated IoT applications. In contrast, Mosquitto is primarily designed for MQTT messaging and lacks the built-in integration capabilities with other cloud services offered by AWS Greengrass.

  3. Authentication and Security: AWS Greengrass offers robust authentication and security features. It supports certificate-based authentication for devices and provides secure communication channels between devices and the cloud. It also offers automatic device registration and management, ensuring secure deployment and access control. Mosquitto, being an MQTT broker, supports basic username and password-based authentication, but lacks the advanced security features provided by AWS Greengrass.

  4. Management and Monitoring: AWS Greengrass comes with a comprehensive management console that allows easy deployment, configuration, and monitoring of edge devices and Lambda functions. It provides detailed insights into device health, connectivity, and performance. In contrast, Mosquitto lacks a dedicated management console and monitoring capabilities. Management and monitoring of Mosquitto-based IoT deployments require additional tools and custom implementations.

  5. Data Processing Capabilities: AWS Greengrass allows edge devices to process data locally using AWS Lambda functions. This enables real-time processing and analysis, reducing data transfer and latency. In contrast, Mosquitto focuses on efficiently transferring data between devices and does not provide native data processing capabilities like AWS Greengrass.

  6. Vendor Lock-in: AWS Greengrass is a proprietary technology offered by Amazon Web Services, which may result in vendor lock-in for users. While it offers extensive features and integration with various AWS services, switching to a different cloud platform may require significant effort. Mosquitto, being an open-source MQTT broker, offers more flexibility and can be used with different cloud providers or on-premises setups.

In Summary, AWS Greengrass offers local computing capabilities, seamless integration with AWS services, advanced authentication and security features, comprehensive management and monitoring, data processing capabilities, but with potential vendor lock-in. Mosquitto, on the other hand, focuses on MQTT messaging, lacks local computing and advanced integration capabilities, has basic security features, requires additional management and monitoring tools, and offers more flexibility in terms of cloud providers.

Detailed Comparison

Mosquitto
Mosquitto
AWS Greengrass
AWS Greengrass

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

Greengrass lets you run IoT applications seamlessly across the AWS cloud and local devices using AWS Lambda and AWS IoT.

-
Respond to local events in near real-time;Operate offline
Statistics
Stacks
140
Stacks
25
Followers
306
Followers
79
Votes
14
Votes
0
Pros & Cons
Pros
  • 10
    Simple and light
  • 4
    Performance
No community feedback yet

What are some alternatives to Mosquitto, AWS Greengrass?

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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