Ehcache vs Redis To Go

Overview

Redis To Go

Stacks51

Followers119

Votes18

Ehcache

Stacks616

Followers160

Votes4

GitHub Stars2.1K

Forks585

Ehcache vs Redis To Go: What are the differences?

What is Ehcache? Java's Most Widely-Used Cache. Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.

What is Redis To Go? Simple Redis hosting. 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.

Ehcache and Redis To Go are primarily classified as "Cache" and "Redis Hosting" tools respectively.

Ehcache is an open source tool with 1.33K GitHub stars and 456 GitHub forks. Here's a link to Ehcache's open source repository on GitHub.

According to the StackShare community, Redis To Go has a broader approval, being mentioned in 9 company stacks & 4 developers stacks; compared to Ehcache, which is listed in 4 company stacks and 8 developer stacks.

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Detailed Comparison

Redis To Go	Ehcache
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.	Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.
Statistics
GitHub Stars -	GitHub Stars 2.1K
GitHub Forks -	GitHub Forks 585
Stacks 51	Stacks 616
Followers 119	Followers 160
Votes 18	Votes 4
Pros & Cons
Pros 5 Heroku Add-on 3 Easy setup 3 Pub-Sub 3 Affordable 3 Always up	Pros 1 Easy setup 1 Simpler to run in testing environment 1 Container doesn't have to be running for local tests 1 Way Faster than Redis and Elasticache Redis
Integrations
Nodejitsu Heroku Engine Yard Cloud AppHarbor	No integrations available

What are some alternatives to Redis To Go, Ehcache?

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 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.

GraphQL Cache

A custom middleware for graphql-ruby that handles key construction and cache reads/writes transparently.

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.

Solid Cache

It is a database-backed Active Support cache store implementation. Using SQL databases backed by SSDs we can have caches that are much larger and cheaper than traditional memory-only Redis or Memcached backed caches.