Redis vs RedisGreen
Overview
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Detailed Comparison
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> | Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. |
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> | - |
Statistics | |
GitHub Stars - | GitHub Stars 42 |
GitHub Forks - | GitHub Forks 6 |
Stacks 14 | Stacks 61.9K |
Followers 26 | Followers 46.5K |
Votes 1 | Votes 3.9K |
Pros & Cons | |
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Integrations | |
| No integrations available | |
What are some alternatives to RedisGreen, Redis?
Hazelcast
With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Aerospike
Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
MemSQL
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.
Apache Ignite
It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
SAP HANA
It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
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.
VoltDB
VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.
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.
Tarantool
It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications
Azure Redis Cache
It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
