StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. OpenFaaS vs Serverless

OpenFaaS vs Serverless

OverviewDecisionsComparisonAlternatives

Overview

Serverless
Serverless
Stacks2.2K
Followers1.2K
Votes28
GitHub Stars46.9K
Forks5.7K
OpenFaaS
OpenFaaS
Stacks54
Followers234
Votes17
GitHub Stars26.0K
Forks2.0K

OpenFaaS vs Serverless: What are the differences?

Key Differences between OpenFaaS and Serverless

  1. Deployment Flexibility: OpenFaaS provides greater deployment flexibility as it can be run on any cloud or on-premises environment, offering more control over where functions are hosted. On the other hand, Serverless platforms are typically tied to specific cloud providers, limiting deployment options and vendor lock-in.

  2. Community and Ecosystem: OpenFaaS has a thriving community and ecosystem with active contributors and a wide range of plugins and integrations available. In contrast, while Serverless platforms have a strong community as well, the ecosystem might be limited to the specific cloud provider's offerings.

  3. Programming Language Support: OpenFaaS supports a wider range of programming languages, allowing developers to write functions in languages such as Java, Python, Node.js, Go, etc. Serverless platforms may have restrictions on the supported languages, potentially limiting developers' choice and flexibility.

  4. Customization and Control: OpenFaaS allows for more customization and control over the environment in which functions run, enabling developers to fine-tune performance and security settings according to their specific needs. With Serverless platforms, developers have less control over the underlying infrastructure, which can be a limiting factor in certain use cases.

  5. Cost Management: OpenFaaS can potentially offer more cost-effective options for running functions, especially in scenarios where there is a need to optimize resource utilization or leverage on-premises infrastructure. Serverless platforms may have more standardized pricing structures, which could lead to higher costs in certain situations.

  6. Performance and Scalability: OpenFaaS provides greater control over performance and scalability aspects, allowing developers to optimize resource usage and scale functions based on specific requirements. Serverless platforms, while offering auto-scaling capabilities, may have limitations in terms of customization and fine-tuning for performance-critical applications.

In Summary, OpenFaaS offers more deployment flexibility, programming language support, customization, and cost management options compared to Serverless, while Serverless platforms provide easier scalability and standardization in deployment.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Serverless, OpenFaaS

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments

Detailed Comparison

Serverless
Serverless
OpenFaaS
OpenFaaS

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Serverless Functions Made Simple for Docker and Kubernetes

Statistics
GitHub Stars
46.9K
GitHub Stars
26.0K
GitHub Forks
5.7K
GitHub Forks
2.0K
Stacks
2.2K
Stacks
54
Followers
1.2K
Followers
234
Votes
28
Votes
17
Pros & Cons
Pros
  • 14
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 3
    Lower cost
  • 1
    Auto scale
  • 1
    Openwhisk
Pros
  • 5
    Open source
  • 4
    Ease
  • 3
    Autoscaling
  • 2
    Documentation
  • 2
    Community
Integrations
Azure Functions
Azure Functions
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Serverless, OpenFaaS?

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Google Cloud Functions

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

Fission

Fission

Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase