Architect vs Knative

Overview

Architect

Stacks36

Followers87

Votes0

Knative

Stacks86

Followers342

Votes21

GitHub Stars5.9K

Forks1.2K

Architect vs Knative: What are the differences?

What is Architect? 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.

What is Knative? Kubernetes-based platform for serverless workloads. 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.

Architect and Knative can be categorized as "Serverless / Task Processing" tools.

Some of the features offered by Architect are:

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

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

Serving - Scale to zero, request-driven compute model
Build - Cloud-native source to container orchestration
Events - Universal subscription, delivery and management of events

Architect and Knative are both open source tools. Knative with 2.01K GitHub stars and 393 forks on GitHub appears to be more popular than Architect with 594 GitHub stars and 48 GitHub forks.

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Detailed Comparison

Architect	Knative
Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.	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
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	Serving - Scale to zero, request-driven compute model; Build - Cloud-native source to container orchestration; Events - Universal subscription, delivery and management of events; Serverless add-on on GKE - Enable GCP managed serverless stack on Kubernetes
Statistics
GitHub Stars -	GitHub Stars 5.9K
GitHub Forks -	GitHub Forks 1.2K
Stacks 36	Stacks 86
Followers 87	Followers 342
Votes 0	Votes 21
Pros & Cons
No community feedback yet	Pros 5 Portability 4 Autoscaling 3 On top of Kubernetes 3 Open source 3 Eventing
Integrations
Amazon DynamoDB Amazon SQS Amazon CloudWatch AWS Lambda Amazon Route 53 Amazon S3 Amazon API Gateway Amazon SNS	Google Kubernetes Engine

What are some alternatives to Architect, Knative?

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

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.

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.

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.