AWS Batch vs OpenFaaS

Overview

AWS Batch

Stacks84

Followers251

Votes6

OpenFaaS

Stacks54

Followers234

Votes17

GitHub Stars26.0K

Forks2.0K

AWS Batch vs OpenFaaS: What are the differences?

AWS Batch: Fully Managed Batch Processing at Any Scale. 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; OpenFaaS: Serverless Functions Made Simple for Kubernetes and Docker. Serverless Functions Made Simple for Docker and Kubernetes.

AWS Batch and OpenFaaS can be categorized as "Serverless / Task Processing" tools.

OpenFaaS is an open source tool with 15.1K GitHub stars and 1.2K GitHub forks. Here's a link to OpenFaaS's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

AWS Batch	OpenFaaS
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.	Serverless Functions Made Simple for Docker and Kubernetes
Statistics
GitHub Stars -	GitHub Stars 26.0K
GitHub Forks -	GitHub Forks 2.0K
Stacks 84	Stacks 54
Followers 251	Followers 234
Votes 6	Votes 17
Pros & Cons
Pros 3 Scalable 3 Containerized Cons 3 More overhead than lambda 1 Image management	Pros 5 Open source 4 Ease 3 Autoscaling 2 Documentation 2 Community
Integrations
No integrations available	Kubernetes Docker

What are some alternatives to AWS Batch, OpenFaaS?

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 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

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.

Serverless

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.

Google Cloud Functions

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

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

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 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.

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.