Software Alternatives, Accelerators & Startups

Google Cloud Functions VS LLVM

Compare Google Cloud Functions VS LLVM and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

LLVM logo LLVM

LLVM is a compiler infrastructure designed for compile-time, link-time, run-time, and...
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • LLVM Landing page
    Landing page //
    2019-11-06

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)

LLVM videos

Interview with LLVM Foundation President Tanya Lattner

More videos:

  • Review - [COSCUP2021] A trip about how I contribute to LLVM
  • Review - Introduction to LLVM Building simple program analysis tools and instrumentation

Category Popularity

0-100% (relative to Google Cloud Functions and LLVM)
Cloud Computing
100 100%
0% 0
Email Marketing
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
IDE
0 0%
100% 100

User comments

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Social recommendations and mentions

LLVM might be a bit more popular than Google Cloud Functions. We know about 53 links to it since March 2021 and only 43 links to Google Cloud Functions. 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 / about 1 month 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 2 months 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: 9 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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LLVM mentions (53)

  • Yes, Ruby is fast, but…
    In conclusion, none of the proposed changes to the Ruby version of the code makes a dent in the Crystal version. This is not entirely Crystal's doing: it uses the LLVM backend, which generates very optimized binaries. - Source: dev.to / 2 months ago
  • Playing with DragonRuby Game Toolkit (DRGTK)
    This Ruby implementation is based on mruby and LLVM and it’s commercial software but cheap. - Source: dev.to / about 2 months ago
  • Ask HN: Which books/resources to understand modern Assembler?
    'Computer Architeture: A Quantitative Apporach" and/or more specific design types (mips, arm, etc) can be found under the Morgan Kaufmann Series in Computer Architeture and Design. "Getting Started with LLVM Core Libraries: Get to Grips With Llvm Essentials and Use the Core Libraries to Build Advanced Tools " "The Architecture of Open Source Applications (Volume 1) : LLVM" https://aosabook.org/en/v1/llvm.html... - Source: Hacker News / 2 months ago
  • Programming from Top to Bottom - Parsing
    You can never mistake type_declaration with an identifier, otherwise the program will not work. Aside from that constraint, you are free to name them whatever you like, there is no one standard, and each parser has it own naming conventions, unless you are planning to use something like LLVM. If you are interested, you can see examples of naming in different language parsers in the AST Explorer. - Source: dev.to / 5 months ago
  • Why do lifetimes need to be leaky?
    C++ compiler which compiles the Rust as if it were C++ (LLVM). Source: 7 months ago
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What are some alternatives?

When comparing Google Cloud Functions and LLVM, you can also consider the following products

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

GNU Compiler Collection - The GNU Compiler Collection (GCC) is a compiler system produced by the GNU Project supporting...

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.

Tiny C Compiler - The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.

AWS Lambda - Automatic, event-driven compute service

NASM - The Netwide Assembler, NASM, is an 80x86 and x86-64 assembler designed for portability and...