Apache OpenWhisk vs Architect

Overview

Apache OpenWhisk

Stacks58

Followers149

Votes7

Architect

Stacks36

Followers87

Votes0

Apache OpenWhisk vs Architect: What are the differences?

Developers describe Apache OpenWhisk as "A serverless, open-source cloud platform". Apache OpenWhisk (incubating) is a serverless, open source cloud platform that executes functions in response to events at any scale. On the other hand, Architect is detailed as "The simplest, most powerful way to build serverless applications". Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.

Apache OpenWhisk and Architect can be primarily classified as "Serverless / Task Processing" tools.

Some of the features offered by Apache OpenWhisk are:

Fine-grained resource consumption
Use any language, any service
Plug your service into Apache OpenWhisk

On the other hand, Architect provides the following key features:

Version control your architecture and create cloud infra in minutes from an .arc manifest
Deploy in seconds with first class support for staging and production
Work locally while completely offline with a speedy in-memory database

Apache OpenWhisk and Architect are both open source tools. It seems that Apache OpenWhisk with 4.1K GitHub stars and 792 forks on GitHub has more adoption than Architect with 594 GitHub stars and 48 GitHub forks.

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Detailed Comparison

Apache OpenWhisk	Architect
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.	Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.
Serverless functions;FaaS;Fine-grained resource consumption;Use any language;Containers as functions; service;Functions-as-a-Service;Function composition;Step Functions;Docker;Kubernetes;Open source community;Apache	Version control your architecture and create cloud infra in minutes from an .arc manifest; Deploy in seconds with first class support for staging and production; Work locally while completely offline with a speedy in-memory database; Primitives not Frameworks; define app architecture agnostic of vendor arcana
Statistics
Stacks 58	Stacks 36
Followers 149	Followers 87
Votes 7	Votes 0
Pros & Cons
Pros 4 You are not tied to a provider. IBM available however 3 Still exploring... its just intresting	No community feedback yet
Integrations
Node.js Visual Studio Code JavaScript Python npm Kubernetes Docker Swift Java Slack	Amazon DynamoDB Amazon SQS Amazon CloudWatch AWS Lambda Amazon Route 53 Amazon S3 Amazon API Gateway Amazon SNS

What are some alternatives to Apache OpenWhisk, Architect?

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

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

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

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

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.