Kubeless vs RealtimeApp

Overview

Kubeless

Stacks39

Followers195

Votes0

RealtimeApp

Stacks5

Followers16

Votes0

GitHub Stars298

Forks13

Kubeless vs RealtimeApp: What are the differences?

Developers describe Kubeless as "Kubernetes Native Serverless Framework". Kubeless is a Kubernetes native serverless Framework. Kubeless supports both HTTP and event based functions triggers. It has a serverless plugin, a graphical user interface and multiple runtimes, including Python and Node.js. On the other hand, RealtimeApp is detailed as "Deploy a Serverless Realtime App in Seconds". Deploy a Full-Stack Realtime App in seconds using Serverless Components. Just provide your frontend code (powered by the website component), and your backend code (powered by the socket component).

Kubeless and RealtimeApp belong to "Serverless / Task Processing" category of the tech stack.

Kubeless and RealtimeApp are both open source tools. Kubeless with 4.82K GitHub stars and 499 forks on GitHub appears to be more popular than RealtimeApp with 289 GitHub stars and 10 GitHub forks.

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Detailed Comparison

Kubeless	RealtimeApp
Kubeless is a Kubernetes native serverless Framework. Kubeless supports both HTTP and event based functions triggers. It has a serverless plugin, a graphical user interface and multiple runtimes, including Python and Node.js.	Deploy a Full-Stack Realtime App in seconds using Serverless Components. Just provide your frontend code (powered by the website component), and your backend code (powered by the socket component).
Statistics
GitHub Stars -	GitHub Stars 298
GitHub Forks -	GitHub Forks 13
Stacks 39	Stacks 5
Followers 195	Followers 16
Votes 0	Votes 0
Integrations
Docker Kafka Zookeeper Serverless Kubernetes	AWS Lambda Node.js Amazon API Gateway

What are some alternatives to Kubeless, RealtimeApp?

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.