Software Alternatives & Reviews

Azure Functions VS Effe

Compare Azure Functions VS Effe and see what are their differences

Azure Functions logo Azure Functions

Azure Functions is a serverless event driven experience that extends the existing Azure App Service platform.

Effe logo Effe

Serverless / Task Processing
  • Azure Functions Landing page
    Landing page //
    2022-09-26
  • Effe Landing page
    Landing page //
    2023-04-04

Azure Functions videos

How to build a movie review app with Azure Cosmos DB and Azure Functions | Azure Makers Series

More videos:

  • Review - Go serverless: Event-driven applications with Azure Functions | Azure Friday
  • Review - Azure Friday | Serverless Apps with Azure Cosmos DB and Azure Functions

Effe videos

Neapolitan Pizza indoor Electric Oven⎮In Depth Review Effeuno Oven

More videos:

  • Review - EFFE.TI STONE 2.0 black | goalkeeperglove test & review | SHERLOCK GLOVES
  • Review - EFFE.TI LEOKING | goalkeeperglove test & review | SHERLOCK GLOVES

Category Popularity

0-100% (relative to Azure Functions and Effe)
Cloud Computing
63 63%
37% 37
Cloud Hosting
57 57%
43% 43
Development
0 0%
100% 100
Backend As A Service
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Azure Functions should be more popular than Effe. It has been mentiond 3 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.

Azure Functions mentions (3)

  • Manage serverless APIs with Apache APISIX
    This article shows with the simple example how to manage Java-based serverless APIs build with Azure functions. It uses azure-functions plugin to integrate Apache APISIX API Gateway with Azure Serverless Function that invokes the HTTP trigger functions and return the response from Azure Cloud. - Source: dev.to / over 1 year ago
  • The Power of GitHub Actions for Streamlining DevOps Workflows
    GitHub Actions for Azure: This GitHub Action allows developers to automate tasks on the Microsoft Azure platform. With this action, developers can easily integrate Azure services into their workflows, such as Azure Functions, App Services, and Kubernetes. This can help streamline DevOps workflows by automating tasks such as deployment, testing, and scaling on the Azure platform. - Source: dev.to / over 1 year ago
  • NoOps: What Does the Future Hold for DevOps Engineers?
    NoOps is best suited for born-in-the-cloud environments that leverage PaaS and serverless solutions. Microservices and API-based application architectures fit the bill perfectly, as they offer fine-grained modularity along with automation. Leading cloud service providers like AWS, Azure, and GCP have a laser focus on providing more services and capabilities in PaaS and serverless, which would help accelerate the... - Source: dev.to / almost 3 years ago

Effe mentions (2)

  • Automated hot ironing.
    Article was from 2017 and linked to their website: https://helloeffie.com/. Source: over 2 years ago
  • Extreme Ironing
    Https://helloeffie.com/ Never used it myself but I have been curious if it actually works. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing Azure Functions and Effe, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

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.

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.

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.