MongoDB 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> | 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. |
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> | Flexible data model, expressive query language, secondary indexes, replication, auto-sharding, in-place updates, aggregation, GridFS |
Statistics | |
GitHub Stars - | GitHub Stars 27.7K |
GitHub Forks - | GitHub Forks 5.7K |
Stacks 14 | Stacks 96.6K |
Followers 26 | Followers 82.0K |
Votes 1 | Votes 4.1K |
Pros & Cons | |
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Integrations | |
| No integrations available | |
What are some alternatives to RedisGreen, MongoDB?
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
RethinkDB
RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.
ArangoDB
A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
InfluxDB
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
