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  1. Stackups
  2. Application & Data
  3. Key-Value Stores
  4. Redis Hosting
  5. Heroku Redis vs Upstash

Heroku Redis vs Upstash

OverviewComparisonAlternatives

Overview

Heroku Redis
Heroku Redis
Stacks105
Followers163
Votes5
Upstash
Upstash
Stacks35
Followers10
Votes0

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Detailed Comparison

Heroku Redis
Heroku Redis
Upstash
Upstash

Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

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.

Easily Optimize;Vertically Scalable
Serverless data for Redis®; Serverless data for Kafka®; Per-request pricing with cap; Global low latency
Statistics
Stacks
105
Stacks
35
Followers
163
Followers
10
Votes
5
Votes
0
Pros & Cons
Pros
  • 5
    More reliable than the other Redis add-ons
Cons
  • 1
    More expensive than the other options
No community feedback yet
Integrations
Heroku
Heroku
Redis
Redis
Kafka
Kafka
Redis
Redis

What are some alternatives to Heroku Redis, 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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