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  1. Stackups
  2. Application & Data
  3. Key-Value Stores
  4. Redis Hosting
  5. Google Cloud Memorystore vs RedisGreen

Google Cloud Memorystore vs RedisGreen

OverviewComparisonAlternatives

Overview

RedisGreen
RedisGreen
Stacks14
Followers26
Votes1
Google Cloud Memorystore
Google Cloud Memorystore
Stacks159
Followers148
Votes0

Google Cloud Memorystore vs RedisGreen: What are the differences?

Introduction

When considering a cloud-based caching solution, it is crucial to understand the key differences between Google Cloud Memorystore and RedisGreen to make an informed decision.

  1. Data Persistence: Google Cloud Memorystore offers data persistence for Redis instances using a secondary storage backend, providing durability and data recovery in case of failures. On the other hand, RedisGreen focuses on in-memory caching, optimizing performance rather than persistence.

  2. Managed Service: Google Cloud Memorystore is a fully managed service that handles tasks such as provisioning, scaling, and maintenance automatically, allowing users to focus on their applications. In contrast, RedisGreen also provides a managed service but with additional monitoring and performance optimization features specific to Redis.

  3. Pricing Structure: Google Cloud Memorystore follows Google Cloud's pay-as-you-go pricing model, where users are charged based on usage and resources consumed. In comparison, RedisGreen offers fixed pricing plans based on cache size and features, simplifying cost management for users.

  4. Multi-Cloud Support: Google Cloud Memorystore is tightly integrated with Google Cloud Platform, allowing seamless deployment and integration with other Google Cloud services. RedisGreen, on the other hand, offers cross-cloud support, enabling users to deploy Redis instances across multiple cloud providers for enhanced flexibility.

  5. Monitoring and Analytics: Google Cloud Memorystore provides basic monitoring and alerting capabilities for Redis instances, offering insights into performance and health metrics. In contrast, RedisGreen offers advanced monitoring and analytics features, including real-time metrics, historical data analysis, and customizable dashboards for deeper visibility into Redis performance.

  6. Scalability: Google Cloud Memorystore allows users to scale Redis instances vertically by upgrading to higher performance tiers or horizontally by adding more replicas for read scalability. RedisGreen also supports vertical scaling but offers automatic horizontal scaling based on usage patterns and workload demands.

In Summary, understanding the unique features of Google Cloud Memorystore and RedisGreen, such as data persistence, managed services, pricing structures, multi-cloud support, monitoring capabilities, and scalability options, can help businesses make an informed decision when choosing a cloud caching solution.

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Detailed Comparison

RedisGreen
RedisGreen
Google Cloud Memorystore
Google Cloud Memorystore

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>

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.

Your server is yours- Every single RedisGreen server is a dedicated EC2 instance, not an ad-hoc multi-tenant environment. Your server will perform as predictably as a reserved EC2 instance, with fast access from the same region.;Monitored at every level- Our servers are monitored at the server, host, and network levels and we have at least two engineers on-call at all times. Problems are responded to within minutes — not hours — and are often diagnosed and fixed before they become serious.;Deep insight- Our dashboard graphs your server’s health and performance metrics for every single command. Diagnose performance issues, optimize your use of Redis, and predict problems before they occur.;Real engineers, real support- With RedisGreen, you get direct access to the engineers who built RedisGreen. We’ve been running large-scale Redis servers for years and can answer any Redis-related questions you have.;Easy master / slave setups- Slave servers are an excellent way to increase the reliability and availability of your Redis-based systems. With RedisGreen, you can create and manage slaves right from the dashboard.;Hourly backups- Servers are backed up every hour. You can use backups to roll back your server to any point in time or audit the prior state of your Redis server.<br>
Less DevOps, More Code - Spend more time writing code that takes advantage of the power of Redis and less time managing Redis. Cloud Memorystore automates complex tasks like enabling high availability, failover, patching, and monitoring so that you can spend more time coding.; Scale as Needed - With Cloud Memorystore for Redis, you can easily achieve the sub-millisecond latency and throughput your applications need. Start with the lowest tier and smallest size, and then grow your Redis instance effortlessly with minimal impact to application availability. Cloud Memorystore can support instances up to 300 GB and network throughput of 12 Gbps.; Highly Available - High availability instances are replicated across two zones and provide a 99.9% availability SLA (when generally available). Instances are monitored constantly, and with automatic failover, applications experience minimal disruption.; Google Grade Security - Cloud Memorystore instances are isolated and protected from the internet using private IPs and are further secured using IAM role-based access control.; Easy Lift and Shift - Cloud Memorystore for Redis is Redis protocol compatible. You can lift and shift your applications from open source Redis to Cloud Memorystore without any code changes. There is no need to learn new tools since all existing tools and client libraries just work.
Statistics
Stacks
14
Stacks
159
Followers
26
Followers
148
Votes
1
Votes
0
Pros & Cons
Pros
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Integrations
Amazon EC2
Amazon EC2
Heroku
Heroku
Redis
Redis

What are some alternatives to RedisGreen, Google Cloud Memorystore?

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.

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.

Heroku Redis

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.

Upstash

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

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.

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