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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Knative vs Lambada Framework

Knative vs Lambada Framework

OverviewComparisonAlternatives

Overview

Lambada Framework
Lambada Framework
Stacks4
Followers17
Votes3
Knative
Knative
Stacks86
Followers342
Votes21
GitHub Stars5.9K
Forks1.2K

Knative vs Lambada Framework: What are the differences?

Developers describe Knative as "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. On the other hand, Lambada Framework is detailed as "Build and deploy serverless applications using JAVA". Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers.

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

Some of the features offered by Knative are:

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

On the other hand, Lambada Framework provides the following key features:

  • Support for the most common JAX-RS annotations.
  • XML based configuration for Lambda function including VPC, custom execution role
  • Support for multiple stages and regions.

Knative and Lambada Framework are both open source tools. It seems that Knative with 2.01K GitHub stars and 393 forks on GitHub has more adoption than Lambada Framework with 236 GitHub stars and 47 GitHub forks.

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Detailed Comparison

Lambada Framework
Lambada Framework
Knative
Knative

Lambada framework is a REST framework that implements JAX-RS API and lets you deploy your applications to AWS Lambda and API Gateway in a serverless fashion. With Lambada you can migrate the existing JAX-RS applications with a very little effort and build scalable applications without having to deal with servers.

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

Support for the most common JAX-RS annotations.;XML based configuration for Lambda function including VPC, custom execution role;Support for multiple stages and regions.
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
4
Stacks
86
Followers
17
Followers
342
Votes
3
Votes
21
Pros & Cons
Pros
  • 1
    Various event sources to trigger
  • 1
    Supported by serverless framework
  • 1
    Pay only when invoked
Pros
  • 5
    Portability
  • 4
    Autoscaling
  • 3
    Eventing
  • 3
    Secure Eventing
  • 3
    Open source
Integrations
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to Lambada Framework, Knative?

AWS Lambda

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

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

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

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

Google Cloud Functions

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

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

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

Apache OpenWhisk

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

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

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.

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