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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.
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Learn MorePros of Redis Cloud
Pros of Redis To Go
Pros of Redis Cloud
- Heroku Addon9
Pros of Redis To Go
- Heroku Add-on5
- Pub-Sub3
- Always up3
- Easy setup3
- Affordable3
- Perfect full sync1
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What is 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.
What is 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.
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What companies use Redis Cloud?
What companies use Redis To Go?
What companies use Redis Cloud?
What companies use Redis To Go?
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What tools integrate with Redis Cloud?
What tools integrate with Redis To Go?
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What are some alternatives to Redis Cloud and Redis To Go?
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.
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.