Overview

Redis To Go

Stacks51

Followers119

Votes18

Redis Cloud

Stacks69

Followers125

Votes9

Redis Cloud vs Redis To Go: What are the differences?

Deployment Options: Redis Cloud offers a choice of deployment locations across various cloud providers, including AWS, GCP, and Azure, providing flexibility in where your data is stored. In contrast, Redis To Go is a hosted service available only on AWS and Heroku, limiting deployment options.
High Availability: Redis Cloud provides built-in high availability with automatic failover to ensure data redundancy and minimal downtime. Redis To Go, on the other hand, requires setting up a fallback mechanism manually to achieve high availability.
Scalability: Redis Cloud offers more scalability options with the ability to easily adjust resources based on demand, including vertical and horizontal scaling. Redis To Go has limited scalability options, which may require more manual intervention for scaling.
Pricing Structure: Redis Cloud has a more flexible pricing structure based on actual usage, allowing users to pay for what they consume without long-term commitments. In comparison, Redis To Go has a simpler pricing model but may not be as cost-effective for variable workloads.
Management Features: Redis Cloud offers advanced management features such as data persistence, automated backups, and monitoring tools to streamline operations. Redis To Go has basic management capabilities and may require additional tools or scripts for certain functionalities.
Support Services: Redis Cloud provides comprehensive support services, including 24/7 technical support and professional services for assistance with optimization and troubleshooting. Redis To Go offers standard support with limited response times, potentially causing delays in resolving critical issues.

In Summary, Redis Cloud stands out for its extensive deployment options, high availability, scalability, flexible pricing, advanced management features, and comprehensive support services compared to Redis To Go.

Detailed Comparison

Redis To Go	Redis Cloud
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.	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.
-	Infinite scalability, all commands supported;Auto-failover with no ops;Highest performance, even for small datasets;Fully managed — completely hassle-free
Statistics
Stacks 51	Stacks 69
Followers 119	Followers 125
Votes 18	Votes 9
Pros & Cons
Pros 5 Heroku Add-on 3 Pub-Sub 3 Always up 3 Affordable 3 Easy setup	Pros 9 Heroku Addon
Integrations
Nodejitsu Heroku Engine Yard Cloud AppHarbor	No integrations available

What are some alternatives to Redis To Go, Redis Cloud?

Heroku Redis

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.

RedisGreen

Redis drives the best sites on the web, from Twitter to Pinterest. RedisGreen makes it easy for anyone to use. Customers can spin up databases at the click of a button. RedisGreen's future is in very fast tools to make the most difficult aspects of modern web application development faster, cheaper, and less labor-intensive.<br>

Google Cloud Memorystore

Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.

Upstash

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.

Vercel KV

It provides durable, serverless Redis storage. It has been designed to be fast, scalable, and secure, and it's a great choice for storing and retrieving key-value and JSON data in your apps.