Software Alternatives, Accelerators & Startups

Google Cloud Functions VS Azure Blob Storage

Compare Google Cloud Functions VS Azure Blob Storage and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Azure Blob Storage logo Azure Blob Storage

Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Azure Blob Storage Landing page
    Landing page //
    2023-04-01

Google Cloud Functions videos

Google Cloud Functions: introduction to event-driven serverless compute on GCP

More videos:

  • Review - Building Serverless Applications with Google Cloud Functions (Next '17 Rewind)

Azure Blob Storage videos

No Azure Blob Storage videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Google Cloud Functions and Azure Blob Storage)
Cloud Computing
63 63%
37% 37
Cloud Storage
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Backend As A Service
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Azure Blob Storage. It has been mentiond 43 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.

Google Cloud Functions mentions (43)

  • Is Serverless Architecture Right For You?
    The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 30 days ago
  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 1 month ago
  • Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
    One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago
  • Need some advice on API key storage
    I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 8 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago
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Azure Blob Storage mentions (13)

  • How to Choose the Right MQTT Data Storage for Your Next Project
    Azure Blob Storage{:target="_blank"} is a scalable and highly available object storage service provided by Microsoft Azure. They offer various storage tiers, so you can optimize cost and performance based on your requirements. They also provides features like lifecycle management, versioning, and data encryption. - Source: dev.to / 11 months ago
  • How to build a data pipeline using Delta Lake
    An object storage system (e.g. Amazon S3, Azure Blob Storage, Google Cloud Platform Cloud Storage, etc.) makes it easy and simple to save large amounts of historical data and retrieve it for future use. - Source: dev.to / about 1 year ago
  • Azure Functions: unzip large files
    I want to share my experience unzipping large files stored in Azure Blob Storage using Azure Functions with Node.js. - Source: dev.to / over 1 year ago
  • How to move my work from Heroku to Azure
    - Optionally, use Blob Storage to host static content. Then you can add Azure CDN for faster access to it. Source: over 1 year ago
  • If you need a sql database how do you make on, populate it with preexisting data, and add/delete from it?
    Alright so this one? https://azure.microsoft.com/en-us/services/storage/blobs/. Source: almost 2 years ago
View more

What are some alternatives?

When comparing Google Cloud Functions and Azure Blob Storage, you can also consider the following products

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

Minio - Minio is an open-source minimal cloud storage server.

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.

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

AWS Lambda - Automatic, event-driven compute service

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.