StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Key-Value Stores
  4. Redis Hosting
  5. Dynomite vs Redis To Go

Dynomite vs Redis To Go

OverviewComparisonAlternatives

Overview

Redis To Go
Redis To Go
Stacks51
Followers119
Votes18
Dynomite
Dynomite
Stacks20
Followers56
Votes9
GitHub Stars4.2K
Forks532

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Redis To Go
Redis To Go
Dynomite
Dynomite

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.

Dynomite is a generic dynamo implementation that can be used with many different key-value pair storage engines. Currently these include Redis and Memcached. Dynomite supports multi-datacenter replication and is designed for high availability.

-
Replication;Highly available reads;Pluggable Datastores;Standard open source Memcached/Redis ASCII protocol support;Scalable I/O event notification server;Peer-to-peer, and linearly scalable;Cold cache warm-up;Asymmetric multi-datacenter replications;Internode communication and Gossip;Functional in AWS and physical datacenter
Statistics
GitHub Stars
-
GitHub Stars
4.2K
GitHub Forks
-
GitHub Forks
532
Stacks
51
Stacks
20
Followers
119
Followers
56
Votes
18
Votes
9
Pros & Cons
Pros
  • 5
    Heroku Add-on
  • 3
    Easy setup
  • 3
    Pub-Sub
  • 3
    Affordable
  • 3
    Always up
Pros
  • 3
    Multi datacenters or regions
  • 2
    Pluggable APIs (Currently have Redis/Memcached APIs)
  • 2
    Low latency high throughput
  • 1
    Support many datastores: redis, memcached, rocksdb, etc
  • 1
    Scale
Integrations
Nodejitsu
Nodejitsu
Heroku
Heroku
Engine Yard Cloud
Engine Yard Cloud
AppHarbor
AppHarbor
Redis
Redis
Memcached
Memcached

What are some alternatives to Redis To Go, Dynomite?

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.

Navicat

Navicat

Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

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.

RedisGreen

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

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.

Galera Cluster

Galera Cluster

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

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.

Mysos

Mysos

Mysos is an Apache Mesos framework for running MySQL instances. It dramatically simplifies the management of a MySQL cluster.

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.

Continuent Tungsten Clustering

Continuent Tungsten Clustering

It allows teams running business-critical MySQL applications to cost-effectively achieve continuous operations. You may deploy MySQL clusters on-premises, in the cloud, hybrid-cloud or multi-cloud.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot