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AWS Lambda VS Bevywise MQTTRoute

Compare AWS Lambda VS Bevywise MQTTRoute and see what are their differences

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AWS Lambda logo AWS Lambda

Automatic, event-driven compute service

Bevywise MQTTRoute logo Bevywise MQTTRoute

Highly scalable MQTT Broker with powerful extensions for all your IoT implementations from small to large enterprise.
  • AWS Lambda Landing page
    Landing page //
    2023-04-29
  • Bevywise MQTTRoute Landing page
    Landing page //
    2023-08-28

Bevywise MQTTRoute is a complete IOT Application Suite with an inbuilt MQTT Broker. MQTTRoute helps you build powerful IOT / IIoT Application using custom dashboard with your own ML / AI algorithms.

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.

Bevywise MQTTRoute features and specs

  • Data Management
  • Data Visualization
  • MQTT Dashboard
  • MQTT Authentication
  • Rules Engine
  • Data storage
  • Live Widgets
  • Multiple Dashboard creation
  • REST API
  • Mobile App Integration
  • High Availibility
  • White label

Analysis of AWS Lambda

Overall verdict

  • AWS Lambda is a strong choice for developers looking for scalable, event-driven applications with minimal management overhead. It is particularly beneficial for applications that experience intermittent traffic or unpredictable workloads.

Why this product is good

  • AWS Lambda is a popular serverless computing service because it allows users to run code without provisioning or managing servers. It automatically scales applications by running code in response to triggers such as HTTP requests, changes in data, or system events. This can significantly reduce operational overhead and costs, as you only pay for the compute time you consume.

Recommended for

  • Developers building microservices or serverless applications.
  • Companies looking to reduce infrastructure management.
  • Startups wanting to quickly deploy applications with limited operational costs.
  • Organizations needing to integrate with other AWS services for a comprehensive solution.
  • Projects with unpredictable or variable workloads that require automatic scaling.

AWS Lambda videos

+ Add

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Bevywise MQTTRoute videos

+ Add

Connecting to Hosted MQTT Broker

More videos:

  • Review - Bevywise MQTT Broker with ML/AI Integratiom

Category Popularity

0-100% (relative to AWS Lambda and Bevywise MQTTRoute)

AWS Lambda

Bevywise MQTTRoute

Cloud Computing
100 100%
Cloud Computing
0% 0
IoT Connectivity
0 0%
IoT Connectivity
100% 100
Cloud Hosting
100 100%
Cloud Hosting
0% 0
Development
0 0%
Development
100% 100

Questions and Answers

As answered by people managing AWS Lambda and Bevywise MQTTRoute.

What makes your product unique?

Bevywise MQTTRoute's answer:

MQTTRoute helps build application over the MQTT Broker. You don't have to subscribe to build products. By default MQTTRoute supports options for multiple storage and also extendability helps python code for hooks, schedules, authentication and User interface.

Why should a person choose your product over its competitors?

Bevywise MQTTRoute's answer:

  • Scalable
  • flexible
  • robust
  • extendable.

How would you describe your primary audience?

Bevywise MQTTRoute's answer:

  • Application Developers
  • Enterprise looking for scalable data collection from their devices.
  • universities and students looking to learn the next generation applications

What's the story behind your product?

Bevywise MQTTRoute's answer:

All MQTT brokers were built just as middle ware, we want to make it more than a middleware, so we built and extendable MQTT Broker.

Which are the primary technologies used for building your product?

Bevywise MQTTRoute's answer:

C and python were the primary languages used. Python provides the massive interfacing for the extendability.

Who are some of the biggest customers of your product?

Bevywise MQTTRoute's answer:

  • Celickler holding
  • Avery Dennison
  • Baker Hughes
  • IIT Delhi
  • Deakin University

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Lambda and Bevywise MQTTRoute

AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Bevywise MQTTRoute Reviews

We have no reviews of Bevywise MQTTRoute yet.
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Social recommendations and mentions

Based on our record, AWS Lambda seems to be more popular. It has been mentiond 277 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS Lambda mentions (277)

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Bevywise MQTTRoute mentions (0)

We have not tracked any mentions of Bevywise MQTTRoute yet. Tracking of Bevywise MQTTRoute recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Lambda and Bevywise MQTTRoute, you can also consider the following products

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

MQTTBox - MQTTBox enables to create MQTT clients to publish or subscript topics, create MQTT virtual device...

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

HiveMQ - HiveMQ is the MQTT based messaging platform for fast, efficient and reliable data movement to and from connected IoT devices and enterprise systems

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

emqtt - emqtt - erlang mqtt broker

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