AWS Lambda vs Nimbella

Overview

AWS Lambda

Stacks26.0K

Followers18.8K

Votes432

Nimbella

Stacks0

Followers2

Votes0

Nimbella vs AWS Lambda: What are the differences?

Developers describe Nimbella as "Simple serverless cloud for developers". It is designed specifically to address the challenges developers face in adopting a serverless computing model. There is little doubt that serverless is radically changing the way cloud applications are developed. Stop wasting time on infrastructure management for your Cloud Apps. Build & run stateful apps, frontend + backend, and stateful APIs in minutes. On the other hand, AWS Lambda is detailed as "Automatically run code in response to modifications to objects in Amazon S3 buckets, messages in Kinesis streams, or updates in DynamoDB". 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.

Nimbella and AWS Lambda belong to "Serverless / Task Processing" category of the tech stack.

Some of the features offered by Nimbella are:

Dedicated secure deployments to your own domains with SSL
Stateful, stateless, Jamstack, and long-running applications
Structured templates to develop fast and collaborate with your team

On the other hand, AWS Lambda provides the following key features:

Extend other AWS services with custom logic
Build custom back-end services
Completely Automated Administration

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CLI (Node.js)

Manual

Detailed Comparison

AWS Lambda	Nimbella
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.	It is designed specifically to address the challenges developers face in adopting a serverless computing model. There is little doubt that serverless is radically changing the way cloud applications are developed. Stop wasting time on infrastructure management for your Cloud Apps. Build & run stateful apps, frontend + backend, and stateful APIs in minutes.
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model	Dedicated secure deployments to your own domains with SSL; Stateful, stateless, Jamstack, and long-running applications; Structured templates to develop fast and collaborate with your team; Conveniently access logs and statistics from the terminal or the browser; Build and run front-end and back-end applications using the tools and languages you know; Start with a generous free tier and grow with us
Statistics
Stacks 26.0K	Stacks 0
Followers 18.8K	Followers 2
Votes 432	Votes 0
Pros & Cons
Pros 129 No infrastructure 83 Cheap 70 Quick 59 Stateless 47 No deploy, no server, great sleep Cons 7 Cant execute ruby or go 3 Compute time limited 1 Can't execute PHP w/o significant effort	No community feedback yet
Integrations
No integrations available	Kubernetes AWS IAM Google Cloud Platform

What are some alternatives to AWS Lambda, Nimbella?

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.

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.