EMQX

Website

emqx.io

$ Details

freemium

Release Date

2013 January

Categories

#IoT Connectivity #Message Queue #Mqtt #Web Service Automation

Startup details

Country

China

State

Zhejiang

City

Hangzhou

Founder(s)

Feng Lee

Employees

50 - 99

AWS Lambda

Website

aws.amazon.com

$ Details

Release Date

-

Categories

#Cloud Computing #Cloud Hosting #Object Storage #Backend As A Service

EMQX features and specs

• High Performance
  EMQX is known for its high throughput and low latency, making it suitable for large-scale IoT and real-time messaging applications.
• Scalability
  It supports horizontal scalability, allowing users to add more nodes to the cluster as needed without significant performance degradation.
• Protocol Support
  EMQX supports multiple protocols including MQTT, MQTT-SN, CoAP, LwM2M, and WebSocket, offering flexibility for various use cases.
• Enterprise Features
  It comes with advanced features such as rule engine, data integration, and server monitoring which are essential for enterprise environments.
• Open Source
  Being an open-source project, EMQX provides transparency, community support, and the ability to custom-tailor solutions based on specific needs.
• Security
  Provides robust security features including SSL/TLS encryption, ACL, authentication, and ID verification ensuring secure communication.

Possible disadvantages of EMQX

• Complexity
  Setting up and managing an EMQX cluster can be complex and might require a significant amount of expertise and time.
• Resource Intensive
  While it's performant, EMQX can be resource-intensive, especially under high loads, which could be a strain on less powerful hardware.
• Cost
  While the open-source version is free, advanced enterprise features and customer support come at a higher cost that may not be feasible for small businesses.
• Learning Curve
  New users may face a steep learning curve due to the variety of features and configurations available.
• Dependency on Erlang
  EMQX is built on Erlang/OTP, which means that any issues or limitations within Erlang can directly affect the performance and stability of EMQX.

AWS Lambda features and specs

• Scalability
  AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
• Cost-effectiveness
  You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
• Reduced Operations Overhead
  AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
• Flexibility
  Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
• Integration with Other AWS Services
  Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
• Automatic Scaling and Load Balancing
  Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

• Cold Start Latency
  The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
• Resource Limits
  Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
• Vendor Lock-in
  Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
• Complexity of Debugging
  Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
• Cold Start Issues with VPC
  When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
• Limited Execution Control
  AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

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