Redis Enterprise Software
Redis Enterprise is a commercial-grade database launched by Redis for high concurrency, low-latency business-critical scenarios such as banking, securities, insurance, and the Internet of Things (IoT). Based on open source Redis, it has been enhanced with high availability, scalability, and enterprise-grade features, supporting multi-live clusters, automatic fault recovery, persistent backups, multiple models (e.g., JSON, full-text search), and advanced security controls, significantly reducing the complexity and risk of large-scale applications. The free version (open source Redis) is only suitable for small-scale scenarios, requires manual cluster management and lacks enterprise-level support.
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Introduction
Redis 企業版功能介紹
Geographic Distribution of Double Life
Dual-Active Architecture is a data resilient architecture that distributes database information across multiple data centers through independent and geographically distributed clusters and nodes. It is a network of independent processing nodes, each of which has access to a common replicated database so that all nodes can participate in a common application, ensuring low local latency and independent operation of each region.
high availability
Redis Enterprise Edition ensures high availability of up to 99.9991 TP3T through data replication, automatic failover, backup and recovery. Applications continue to run without interruption even if some servers fail.
Multi-tenant Technology
Multi-tenancy means that a single server efficiently manages the needs of a variety of tenants, each of whom maintains their data securely and independently. There is no need to provide additional physical infrastructure for each new tenant, enabling efficient resource utilization.
Enterprise level security
Redis Enterprise Edition has a number of proprietary features such as access control, built-in encryption, accountability, enhanced disaster recovery, and the use of external identity providers.
Automatic Layering
Redis Enterprise's auto-tiering feature lets you scale your database beyond DRAM capacity using solid state drives (SSDs), so you can use the same Redis API to build applications that require large datasets. Using SSDs can reduce infrastructure costs by up to 70% compared to DRAM-only deployments.
Built-In Agents
Improve performance by handling routing, load balancing, and simplifying client-side connections between applications and Redis shards.
Enquiry and Search
The Redis query engine provides an enhanced Redis experience with the following search and query capabilities: rich query language, incremental indexing of JSON and hash files, vector search, full text search, geospatial querying, aggregation.
Data Integration
Automatically connect Redis deployments to other data sources and receivers for seamless data movement and synchronization across your entire architecture.
Structure
Redis Enterprise Ecosystem
100%-compatible open source version that delivers 2-10x performance gains in real-world deployments
Advantages
Redis Enterprise Advantage
developer
- Simplify business logic: do the most functions with the least amount of code.
- Deeper understanding of data: data visualization, data monitoring, data management
- Redis modules: JSON, Search, etc.
- Data access control: ACL, SSO, LDAP, 100% compatible with open source Redis.
Maintenance Engineer
- High Availability: Provides up to 99.999% uptime guarantee, short failure recovery time and no data loss.
- TCO Optimization: Linear Scaling, Simplified Service Management, Automatic Tiering
- Comprehensive technical support: Enjoy 24/7 technical support from Redis experts to ensure your business continuity.
Structurer
- Staying ahead of the curve: Full support for the latest Redis releases, enabling synchronized technology and feature updates.
- Global Deployment Capability: Supports deployment and expansion of real-time applications anywhere in the world to meet decentralized requirements
- Unified Data Layer: Guarantees data consistency and scalability across any infrastructure.
Redis 企業版
Multi-tenant Technology
Redis' multi-tenant capability allows a single server to efficiently and securely manage each tenant's data independently, combining operational efficiency with cost-effectiveness. This approach simplifies business expansion by maximizing resource utilization and eliminating the need to add physical infrastructure for each new tenant.
Redis supports deployment of multi-tenant environments locally or in the cloud, making it ideal for internal application development in microservice organizations. This model eliminates the need to maintain separate infrastructures for different environments (development/testing/production), and supports parallel build and testing for significant efficiency gains.
Solutions
Financial Industry Solutions
- Speed Anxiety43% Financial Institutions Accelerate Digital Transformation, but Traditional Databases are Slow to Respond, How to Respond to Billion-Dollar Highly Consolidated Real-Time Transactions?
- Risk Control ProblemsHow to realize millisecond anti-fraud and compliance control to avoid capital loss in the era of open banking and remote office?
- Experience Bottlenecks：客戶期待「無感金融」，你的系統能否支撐千萬級TPS的即時客戶畫像與智慧推薦？
Resources
Technical Articles
【數位金融底層技術 02】台灣普惠金融架構解析：小額高頻交易、即時風控與 Redis 實戰應用
引言：普惠金融的技術挑戰：當「小額」成為「高併發」 2024 年，金管會核准 32 件金融創新試辦案，涵蓋小額信貸、微型保險、農漁民融資與行動支付等多元應用場景。這些試辦案呈現出一個明確趨勢：金融服務對象逐漸由「大客戶」轉向「長尾用戶」，交易模式也從「大額低頻」轉變為「小額高頻」。 一家參與試辦的數
【數位金融底層技術 01】Redis 如何支撐千萬級高併發交易？從 Session 到即時風控實戰
從登入 Session、OTP 到交易快取—用 Redis 將客戶體驗維持在毫秒等級 當「秒殺」不只發生在電商：數位金融的流量風暴 2025 年農曆新年期間，某家數位銀行在 48 小時內湧入超過 30 萬筆紅包發送請求；另一家純網銀推出「首次轉帳現金回饋」活動，開放後 10 分鐘內系統查詢量暴增 1
宏虹分享｜Redis 台灣洞察：2026 金融詐欺風暴，當反詐防禦窗口僅剩 50ms，如何構建「毫秒級」即時防線？
一、引言：Finance Taiwan 2026 的核心命題—從「事後偵測」到「即時阻斷」 2026 年，台灣金融產業正面臨詐欺技術快速升級的關鍵轉折。 根據 GASA 與 Whoscall 發布的《2025 台灣詐騙狀況報告》，台灣成年人平均每年接觸 149 次詐騙情境（約每兩天一次），且有高達
宏虹分享｜Redis Enterprise 金融系統最佳實務｜打造高效、安全、可擴充的數位金融架構
一、引言：金融數位轉型下的系統挑戰 在金融服務全面數位化的浪潮下，「數位轉型」早已不只是提升營運效率的輔助工具，而是直接影響金融機構競爭力與風險承受能力的核心關鍵。無論是銀行、保險或證券業者，客戶對於即時交易處理、全天候系統可用性、低延遲操作體驗，以及跨通路一致的服務品質，已形成明確且持續升高的市場
Hong Hong Sharing | Building a Rag Application with Redis and Spring Ai
摘要 本文介紹了 Spring AI。在 LLM 驅動的應用中，支援資料庫是關鍵儲存技術，以前 Spring 結合 Redis 建構推出 AI 應用選擇少，Spring 社群 Spring AI 專案來簡化開發。搜尋增強生成（RAG）技術可結合資料與 AI 模型，文中以啤酒資料集為例，講述如何將資料
Redis 8 Vector Search: Scaling to 1 Billion Vectors with Ease
重點速覽 面對生成式 AI 帶來的超大規模向量需求，Redis 8 向量搜尋實測輕鬆支援 10 億向量，依舊保持低延遲與高吞吐表現。本篇文章詳細介紹了 Redis 如何透過 HNSW 演算法擴展至十億級別，並提供完整的測試配置與性能數據。無論是 AI 搜尋、推薦系統還是多模態生成應用，Redis 8
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