Redis Enterprise Database

Expanding the Boundaries of Database Open Source

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Redis Enterprise Software
Cache + Front-end Database + Real-time Data Platform
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Redis Enterprise Cloud
Real-time data + any scale + any deployment space
Understanding Redis Enterprise Cloud
Redis Tool Suite
Three Redis Tools Combined to Meet Customer Needs
Understanding the Redis Tool Suite
Redis Module
Modules specific to Redis Enterprise Edition
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Indexing and Querying

Search and query

JSON storage

JSON

Active-Active multi-activity architecture

Active-Active

Automatic Layering

Auto-tiering

vector search

Vector Search

Relying on open source Redis as the kernel, constructed by the official Redis core team, provides enterprise-class high-performance cache Database solution to meet your expansion needs. --Enterprise-class caching solution developed and supported by Redis, your universal data platform.

				
					# Create a new session and store it as a JSON document
> JSON.SET session:12345 . '{"user_id": 1001, "login_time": "2024-02-27T10:00:00Z  "preferences": {"theme": "dark"}}}'
"OK"

# Fetch the entire session
> JSON.GET session:12345
"{\"user_id\":1001,\"login_time\":\"2024-02-27T10:00:00Z\ ",\"data\":{\"last_page_visited\":\"/home\",\\ "preferences\":{\"theme\":\"dark\"}}}"

# Fetch a specific part of the session
> JSON.GET session:12345 .data.preferences
"{\"theme\":\"dark\"}}"

# Update a field within the session
> JSON.SET session:12345 .data.last_page_visited '"/settings"'
"OK"

# Delete a field within the session
> JSON.DEL session:12345 .data.preferences
(integer) 1

# Delete a session
> DEL session:12345
(integer) 1
</xmp

Advanced, real-time vector retrieval capabilities, easily build your document semantic search, recommendation system and other advanced functions, empowering the intelligence and response speed of AI applications. --Explore the unlimited possibilities of big model application, semantic caching, RAG (retrieval augmentation generation) and other use cases to build your private big model.

				
					# Create a vector index using the HNSW algorithm, 768 dimension length, and inner product distance metric
> FT.CREATE idx-videos ON HASH PREFIX 1 video: SCHEMA content_vector VECTOR HNSW 6 TYPE FLOAT32 DIM 768 DISTANCE_METRIC IP content TEXT metadata TEXT

# Add a video vector with metadata
> HSET video:0 content_vector "\xa4q\t=\xc1\xdes\xbdZ$<\xbd\xd5\xc1\x99<b\xf0\xf2<x[...\xf8 FT.SEARCH idx-videos "* => [KNN 3 @content_vector $vector AS vector_score]" RETURN 3 metadata content vector_score SORTBY vector_score LIMIT 0 3 PARAMS 2 vector "\b[\xb7;\x81\x12\x9c\xbc\xc6!...\xfe<" DIALECT 2
</xmp

The industry leader in NoSQL databases, Redis Enterprise Edition helps you build fast, reliable continuity with up to 99.999% of high availability. --Redis Enterprise Edition helps you build fast, reliable applications with up to 99.9991 TP3T of high availability, with offsite multi-activity and extremely fast access.

				
					Create an index on "users:*"
> FT.CREATE user-idx ON JSON PREFIX 1 users: SCHEMA $.user.name AS name TEXT $.user.hobbies AS hobbies TAG $.user.age as age NUMERIC
"OK"

# Add a JSON document to be indexed
> JSON.SET users:1 $ '{"user":{"name": "John Smith ", "hobbies":["sports", "computers"], "age":23}}', {"user":{"name": "John Smith "age":23}}'
"OK"

# Search all user documents with name "John"
> FT.SEARCH user-idx '@name:(John)'
1) "1"
2) "users:1"
3) 1) "$"
2) "{\"user\":{\"name\":\"John Smith\",\ "hobbies\":[\"sports\",\"computers\"],\"age\". ":23}}"

# Search for users named "John" with hobbies "sports" or "writing " and age between 20 and 30
> FT.SEARCH user-idx '@name:(John) @hobbies:{sports | writing} @age:[20 30]'
1) "1"
2) "users:1"

3) 1) "$" 2) "{\"user\":{\"name\":\ "John Smith\",\"hobbies\":[\"sports\",\" computers\"],\"age\":23}}"
</xmp

Redis Enterprise Database Benefits

Extreme Performance

Utilizes advanced memory technology to achieve millisecond data processing speed, greatly enhancing application response efficiency.

Strong stretchability

With seamless data sharding and automated cluster management, the challenge of surging data volumes is easily met.

High Availability Assurance Program

Provide data persistence, backup and automatic recovery solutions to ensure data security.

Enterprise Features

Supports multi-tenant architecture and more granular access control to meet the diverse needs of enterprises.

Designed for your role

Adaptable to multiple roles

Easy to use and manage: Fully compatible with open source Redis, no extra learning costs, easy to manage with the official IDE.
Supports multi-language access:Any development language can get started quickly, whether it's the Redis OM or the officially supported Redis client libraries.
In-depth data insights:With RedisInsight, monitor and manage your data in a visualized format with full control of the data layer.
Construct real-time applications:It fully supports many common data models including JSON, provides efficient search and query functionality, and supports seamless migration from open source and Redis Stacks.
Data Governance and Security:From concept to implementation, rapidly deploy while ensuring data compliance and security.

Wide range of application scenarios:Whether it's fraud detection or claims processing, there are multiple use cases that Redis Enterprise Edition can support.
Global deployment capability:Supports deployment and scaling of real-time applications anywhere in the world to meet distributed business needs.
Unified data layer:Efficiently convert legacy data to real-time data, guaranteeing consistency and scalability across any infrastructure, whether local, hybrid or global cloud.
Stay ahead of the curve:Full support for the latest release version of Redis, the latest technology, the latest features synchronization updates.

High Availability and Disaster Tolerance:Provides up to 99.999% guaranteed uptime with very short failure recovery time and no data loss.
Break the memory limit:Applications for large data sets, scaled by auto-tiering and SSDs, save you up to 70% in storage costs while maintaining efficient performance.
Comprehensive technical support:Enjoy 24/7 technical support from Redis technology experts to protect your business continuity.

Applications

Application Scenarios

Corporate Cache

Fast, Scalable and Highly Available Cache Layers Improve Application Performance

Conversation Management

Building a Trusted View of Users with Distributed Session Management Solutions

Real Time Ranking

Delivering reliable results to millions of users

Fraud Identification

Easy handling of identity data, faster fraud detection based on AI

Real-time inventory

Delivering Optimal Performance, Scale and Availability for Online Retailing

Repeated data deletion

Organize user data through probabilistic filtering

Documentation Tools Download

Redis Specialized Training and Deployment Services

Learn more about Redis features →

Getting Started with Redis

Installation \ Run \ Test Redis Server →

Getting Started with Redis Modules

Understanding the Redis module and how it is installed →

Redis Frequently Asked Questions

Redis FAQs →

Redis White Paper

Enterprise Cache Buyer's Guide →

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Redis Enterprise Cloud

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Redis Enterprise Software

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