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Google App Engine VS CloudMQTT

Compare Google App Engine VS CloudMQTT and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.

CloudMQTT logo CloudMQTT

CloudMQTT implements MQ Telemetry Transport protocol for carrying out messaging using a publish/subscribe message queueing model.
  • Google App Engine Landing page
    Landing page //
    2023-10-17
  • CloudMQTT Landing page
    Landing page //
    2019-09-25

Google App Engine features and specs

  • Auto-scaling
    Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
  • Managed environment
    App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
  • Integrated services
    Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
  • Multiple languages support
    Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
  • Security
    Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
  • Developer productivity
    App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
  • Versioning
    Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.

Possible disadvantages of Google App Engine

  • Cost
    While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
  • Vendor lock-in
    Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
  • Limited control
    Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
  • Environment constraints
    Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
  • Complex debugging
    Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
  • Cold start latency
    Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
  • Configuration complexity
    Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.

CloudMQTT features and specs

  • Scalability
    CloudMQTT allows you to scale your connections and usage based on your needs, providing flexibility for growing applications.
  • Managed Infrastructure
    The service provides a fully managed MQTT broker infrastructure, saving time and resources on setup and maintenance.
  • Cross-Platform Compatibility
    CloudMQTT supports multiple platforms and devices, making integration with a variety of applications and services easier.
  • Security
    Offers features like SSL/TLS encryption and authentication mechanisms to ensure secure data transmission and prevent unauthorized access.
  • User Friendly
    The platform offers an easy-to-use interface with comprehensive documentation, making it accessible even for beginners.

Possible disadvantages of CloudMQTT

  • Cost
    While there are different pricing tiers, the cost can increase significantly with higher usage and the need for advanced features.
  • Vendor Lock-in
    Relying on a specific service provider can lead to vendor lock-in, making it challenging to switch providers without significant effort and restructuring.
  • Limited Offline Access
    As a cloud-based service, it requires an internet connection, which may not be ideal for applications needing offline capabilities.
  • Customizability
    There might be limitations on customization compared to running a self-hosted MQTT broker, which offers more control over configurations.
  • Dependency on Internet
    The need for constant internet connectivity could be a drawback for applications in environments with unstable or limited internet access.

Analysis of Google App Engine

Overall verdict

  • Google App Engine is generally considered a good choice for developers looking for a serverless platform to deploy their applications quickly without managing underlying infrastructure. Its ease of use, scalability, and integration with Google's ecosystem make it a strong option, especially for projects expecting to scale significantly or require integration with other Google Cloud services.

Why this product is good

  • Google App Engine is a fully managed serverless platform that allows developers to build scalable web applications and mobile backends. It abstracts away infrastructure management, handles scaling automatically, and offers integration with other Google Cloud services, providing a high degree of flexibility and efficiency. Its key strengths include support for multiple programming languages, built-in security features, and seamless connectivity to Google's machine learning and data analytics tools.

Recommended for

    Google App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.

Google App Engine videos

+ Add

Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

CloudMQTT videos

+ Add

Triggering Sonoff S20 via Amazon Echo and IFTTT/Lambda/CloudMQTT

More videos:

  • Demo - Home Automation Demo: ESP8266 MicroPython, CloudMQTT and IOT MQTT Dashboard android app

Category Popularity

0-100% (relative to Google App Engine and CloudMQTT)

Google App Engine

CloudMQTT

Cloud Computing
100 100%
Cloud Computing
0% 0
Data Integration
0 0%
Data Integration
100% 100
Cloud Hosting
100 100%
Cloud Hosting
0% 0
IoT
0 0%
IoT
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google App Engine and CloudMQTT

Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
Source: blog.back4app.com
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...
Source: blog.appscale.com

CloudMQTT Reviews

We have no reviews of CloudMQTT yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google App Engine seems to be a lot more popular than CloudMQTT. While we know about 31 links to Google App Engine, we've tracked only 2 mentions of CloudMQTT. 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.

Google App Engine mentions (31)

  • Guide to modern app-hosting without servers on Google Cloud
    If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / 5 months ago
  • Security in the Cloud: Your Role in the Shared Responsibility Model
    As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / 7 months ago
  • Hosting apps in the cloud with Google App Engine in 2024
    Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / 8 months ago
  • Fixing A Broken Deployment to Google App Engine
    In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 11 months ago
  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 11 months ago
View more

CloudMQTT mentions (2)

  • A beginner's end-to-end project: Raspberry Pi sensor data to dashboard -- I need some general advice getting started
    If it's IoT data, I would first send it to a Cloud MQTT Broker (cloudmqtt.com or hivemq.com). These brokers handle the spotty unstable connectivity between themselves and MQTT/IoT devices or clients. Other systems will not handle this instability in connectivity very well. Source: over 2 years ago
  • Connecting to Mqtt broker over GSM or cellular network
    I am trying to make a vehicle tracker, So I am using GPS and Gsm module. I am willing to transfer latlong over cellular network through MQTT to Cloudmqtt.com or any similar. Have anyone done similar project ?, Please help. I tried searching on google.. But all I get is for ESP or NodeMCU. Source: almost 4 years ago

What are some alternatives?

When comparing Google App Engine and CloudMQTT, you can also consider the following products

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

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

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

RabbitMQ - RabbitMQ is an open source message broker software.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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