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Azure App Service VS Google App Engine

Compare Azure App Service VS Google App Engine and see what are their differences

Azure App Service logo Azure App Service

App Service is a cloud platform to build powerful web and mobile apps that connect to data anywhere, in the cloud or on-premises

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.
  • Azure App Service Landing page
    Landing page //
    2022-10-16
  • Google App Engine Landing page
    Landing page //
    2023-10-17

Azure App Service features and specs

  • Scalability
    Azure App Service automatically scales your apps based on demand, making it easy to handle varying traffic levels without manual intervention.
  • Managed Infrastructure
    Azure App Service takes care of the underlying infrastructure, freeing developers from server management responsibilities and allowing them to focus on code.
  • Built-in DevOps Support
    Offers integrated support for CI/CD pipelines, enabling seamless deployment and collaboration among development teams.
  • Multiple Language Support
    Supports a wide range of programming languages including .NET, Java, Node.js, PHP, Python, and Ruby, providing flexibility in technology stack choice.
  • Security and Compliance
    Provides built-in security tools and features, such as SSL certification, Azure Active Directory integration, and compliance with regulatory standards.
  • Global Reach
    With data centers around the world, Azure App Service allows apps to be distributed globally, reducing latency and improving user experience.
  • Hybrid Connectivity
    Enables secure connectivity between cloud applications and on-premises systems, facilitating hybrid cloud solutions.

Possible disadvantages of Azure App Service

  • Cost
    Can become expensive, especially when scaling applications for high traffic or using additional services that incur extra charges.
  • Cold Start Latency
    Applications may experience higher latency during initial requests due to 'cold start' issues inherent to serverless architectures.
  • Complex Configuration
    Configuring and managing intricate application settings can be complex, requiring a deep understanding of Azure portal and services.
  • Limited Customization
    Some limitations in terms of the customization of the server environment compared to managing infrastructure at a lower level, such as virtual machines.
  • Vendor Lock-In
    Reliance on specific Azure services and APIs can increase the risk of vendor lock-in, making it difficult to migrate to other platforms without rework.
  • Performance Variability
    Performance can vary depending on the chosen pricing tier, with lower tiers possibly affecting application response times.

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.

Azure App Service videos

Azure App Service (Web Apps) Tutorial

More videos:

  • Review - Getting Started with Azure App Service Web Apps
  • Review - Build and deploy Node.js and React apps with Visual Studio Code, Azure App Service and Cosmos DB

Google App Engine videos

Get to know Google App Engine

More videos:

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

Category Popularity

0-100% (relative to Azure App Service and Google App Engine)
Cloud Computing
8 8%
92% 92
Cloud Hosting
8 8%
92% 92
Web Service Automation
100 100%
0% 0
Backend As A Service
8 8%
92% 92

User comments

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Reviews

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

Azure App Service Reviews

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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...
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...

Social recommendations and mentions

Based on our record, Google App Engine seems to be a lot more popular than Azure App Service. While we know about 31 links to Google App Engine, we've tracked only 1 mention of Azure App Service. 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.

Azure App Service mentions (1)

  • Please help us to choose the right service
    Azure App Service (can be a Linux based on Windows Based). You will declare here what type of machine strength you need (cpu, memory, disk) - Note that you do not have access to the machines themselves , this is not a VM. You do have access of course to the folders where the application will be stored. https://azure.microsoft.com/en-in/products/app-service. Source: over 2 years ago

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 / 4 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 / 6 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 / 7 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 / 10 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 / 10 months ago
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What are some alternatives?

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

AWS Lambda - Automatic, event-driven compute service

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.

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

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

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.

AWS Elastic Beanstalk - Quickly deploy and manage applications in the AWS cloud.