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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Cakework vs Upstash

Cakework vs Upstash

OverviewComparisonAlternatives

Overview

Cakework
Cakework
Stacks0
Followers0
Votes0
GitHub Stars116
Forks1
Upstash
Upstash
Stacks35
Followers10
Votes0

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CLI (Node.js)
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Detailed Comparison

Cakework
Cakework
Upstash
Upstash

It is a set of simple APIs for building serverless directly into your developer product. You describe how you want to package and run your users' code, and use Cakework to build images from Github, CLI, or even a browser.

It provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions.

APIs for building serverless directly into your developer product; You use APIs to run code securely and show logs and metrics back to your users
Serverless data for Redis®; Serverless data for Kafka®; Per-request pricing with cap; Global low latency
Statistics
GitHub Stars
116
GitHub Stars
-
GitHub Forks
1
GitHub Forks
-
Stacks
0
Stacks
35
Followers
0
Followers
10
Votes
0
Votes
0
Integrations
GitHub
GitHub
Fern
Fern
TypeScript
TypeScript
JSON
JSON
Docker
Docker
Kafka
Kafka
Redis
Redis

What are some alternatives to Cakework, Upstash?

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

Knative

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

Redis To Go

Redis To Go

Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

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.

Redis Cloud

Redis Cloud

Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

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