Effe vs Architect | What are the differences? | StackShare

Architect vs Effe

Overview

Effe

Stacks359

Followers10

Votes0

GitHub Stars231

Forks7

Architect

Stacks36

Followers87

Votes0

Architect vs Effe: What are the differences?

Developers describe Architect 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. On the other hand, Effe is detailed as "A building block for an open source AWS lambda". Effe is an extremely simple building block with which to build a "server-less" architecture. This is a building block, operates on the level of a single lambda function.

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

Architect and Effe are both open source tools. Architect with 594 GitHub stars and 48 forks on GitHub appears to be more popular than Effe with 231 GitHub stars and 7 GitHub forks.

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Detailed Comparison

Effe	Architect
Effe is an extremely simple building block with which to build a "server-less" architecture. This is a building block, operates on the level of a single lambda function.	Create, deploy, and maintain next-generation AWS cloud function-based serverless infrastructure with full local, offline workflows, and more.
-	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
GitHub Stars 231	GitHub Stars -
GitHub Forks 7	GitHub Forks -
Stacks 359	Stacks 36
Followers 10	Followers 87
Votes 0	Votes 0
Integrations
No integrations available	Amazon DynamoDB Amazon SQS Amazon CloudWatch AWS Lambda Amazon Route 53 Amazon S3 Amazon API Gateway Amazon SNS

What are some alternatives to Effe, 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.

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.