Redis Lucee Extension

The Ortus Redis Extension is a Lucee Server Extension that allows your server to natively connect to a Redis Server or Cluster

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Redis Lucee Extension

The Ortus Redis Extension is a Lucee Server Extension that allows your server to natively connect to a Server or Cluster, an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs and geospatial indexes with radius queries. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. more about Redis.

Our extension will enhance your Lucee CFML server with the following capabilities :

Add native Redis functionality to any Lucee Server
Connect to a Redis server or a Redis cluster
Store session/client variables in a distributed Redis cluster
Leverage the Redis publish/subscribe features to create real-time messaging
Get rid of sticky session load balancers, come to the round-robin world!
Session/client variable persistence even after Lucee restarts
Ability to leverage the RAM resource virtual file system as a cluster-wide file system
Cache connection capabilities for providing distributed & highly scalable query, object, template, function caching
Much more

Purchase v3.0.0

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	Standard Servers	Containerized Servers
Features	Standard Servers	Small	Large
Price	$249 /year	$499 /year	$1599 /year
Concurrent Lucee Instances	1	Max 5	Max 20
Lucee Contexts	Unlimited	Unlimited	Unlimited
Cache Connectors	Unlimited	Unlimited	Unlimited
Session/Client Distribution
Distributed RAM Resource
Native CFML functions
Query-Function-Template-Object Caching
Major Updates for 1 year
Support for 1 year
Minor Fixes + Patches for 1 year
	Purchase	Purchase	Purchase

You can download a trial version of our extension that is fully functional for a period of time so you can test drive it. Just fill out the form below and we will send you a link to download and install our extension!

Capabilities

Here are some of the major features of our Redis Extension:

Add Redis functionality to any Lucee application
Install at the server level (Available to all contexts)
Create Cache connections in the Lucee administrator or via the Application.cfc to connect to any network-accessible Redis cluster
Set and get objects from Redis via standard CFML functions and tags cachePut(), cacheGet(), <cfcache action="get|put">
Fully supports all built-in Lucee cache functions including wildcard filters
Seamlessly distribute storage of the following to any bucket in a Redis cluster
- Lucee session storage
- Lucee client storage
- Lucee RAM resource ram://...
Seamlessly cache the following to any timeout-sensitive bucket in a Redis cluster
- Results of database queries <cfquery cachedwithin>
- Results of deterministic functions <cffunction cachedwithin>
- Complex or simple objects in your application's code
- Cached templates <cfcache action="content|cache|serverCache">
Ability to publish and subscribe to Redis channels for pub/sub capabilities: https://redis.io/topics/pubsub
Registers new CFML Built-In Functions (BIFs) for interacting with the Redis client:
- RedisGetClient( cacheName )
- RedisGetClusterNodes( cahcename )
- RedisGetConnectionPool( cahcename )
- RedisGetProvider( cahcename )
- RedisPublish( channel, message, cacheName )
- RedisSubscribe( subscriber, channels, cacheName )
Exposes Redis Server statistics to cache alements and updated element tracking
Extremely lightweight and fast

View Our Docs!

Professional Support

We have been working with Redis Server for a number of years now and we love setting up clusters and planning your distributed caching with a focus on CFML. We have built several solutions on top of Redis as well to help with session distribution, ColdBox data, event and view caching. If you need distributed caching, session management or NoSQL integrations, then we are here to help.