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Redis Enterprise Database

Redis 企業版（Redis Enterprise） 是Redis 推出的商業級資料庫，適用於銀行、證券、保險、物聯網等高並發、低延遲的關鍵業務場景。在開源Redis 基礎上強化了高可用性、擴充性和企業級功能，支援多活叢集、自動故障復原、持久化備份、多模型（如JSON、全文搜尋）及進階安全管控，顯著降低大規模應用的複雜度與風險。而免費版（開源Redis ）僅適合小規模場景，需手動管理叢集且缺乏企業級支援。

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INTRODUCTION

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Active-Active地理分佈

Active-Active架構是一種資料彈性架構，透過獨立且地理分佈的叢集和節點將資料庫資訊分佈在多個資料中心。它是一個由獨立處理節點組成的網絡，每個節點都可以訪問一個公共複製資料庫，以便所有節點都可以參與一個公共應用程序，確保本地低延遲，每個區域都可以獨立運行。

高可用性

Redis 企業版透過資料複製、自動故障轉移、備份和恢復，確保高達99.999% 的高可用性。即使某些伺服器發生故障，應用程式也能持續運行，不會中斷。

多租戶技術

多租戶是指單一伺服器高效管理各種租戶的需求，每個租戶都安全且獨立地維護其資料。無需為每個新租戶提供額外的實體基礎設施，實現高效的資源利用率。

企業級安全

Redis 企業版擁有存取控制、內建加密、問責制、增強災難復原及使用外部身分提供者等多個專有功能。

Automatic Layering

Redis Enterprise 的自動分層功能讓您可以使用固態硬碟(SSD) 將資料庫擴展到DRAM 容量之外，這樣您就可以使用相同的Redis API 來建立需要大型資料集的應用程式。與僅使用DRAM 部署相比，使用SSD 可將基礎架構成本降低高達70%。

內建代理

透過處理路由、負載平衡和簡化應用程式與Redis 分片之間的客戶端連接來提高效能。

查詢和搜尋

Redis 查詢引擎透過以下搜尋和查詢功能提供增強的Redis 體驗：豐富的查詢語言、JSON 和雜湊文檔的增量索引、向量搜尋、全文搜尋、地理空間查詢、聚合

Data Integration

自動將Redis 部署與其他資料來源和接收器連接起來，以實現整個架構中的無縫資料移動和同步。

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

Designed for your role

Adaptable to multiple roles

  • 簡化業務邏輯：用最少程式碼完成最多功能
  • 深入理解數據：實現數據視覺化、數據監控、數據管理
  • Redis Module：JSON、Search等
  • 資料存取控制：ACL、SSO、LDAP、100%相容於開源Redis
  • 保持技術領先：全面支援最新發行版本的Redis，實現技術和功能同步更新
  • 全球部署能力：支援在全球任何地點部署並擴展即時應用程序，滿足分散式需求
  • 統一資料層：在任何基礎架構上保障資料的一致性與擴充性
  • 高可用性：提供高達99.999%的運作時間保證，故障復原時間極短且無資料遺失
  • 最佳化成本(TCO): 線性擴容、簡化服務管理、自動分層
  • 全面技術支援：享受Redis技術專家的24/7全天候技術支持，保障您的業務連續性

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

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