Accelerate and scale
your application with Redisson
Discover Redisson, the top-rated
Valkey & Redis Java Client and
Real-Time Data Platform
23.7k GitHub stars
Trusted by industry leaders from
Fortune 100
and
Fortune Global 500
Our reseller partners
Features
Zero learning curve
Make interaction with Valkey and Redis simpler and more intuitive. By separating concerns, it lets you focus on your data models and application logic without the hassle.
Cross-Vendor Compatibility
Connect to any Valkey or Redis vendor: Amazon ElastiCache, Amazon MemoryDB, Azure Cache for Redis, Redis Enterprise, Redis Cloud, Redis Software, Google Cloud Memorystore, Aiven for Caching, Aiven for Valkey, Redis on SAP BTP, IBM Cloud Databases for Redis, On-premise Redis, On-premise Valkey.
Universal API model
Use Unified API layer for Valkey and Redis, offering multiple interfaces: Synchronous, Asynchronous, Reactive, and RxJava3, providing flexible and efficient integration options for diverse application needs.
Distributed Data & Services
Leverage Valkey and Redis based scalable, high-performance distributed objects, counters, collections, locks, publish/subscribe, and services, for seamless, fault-tolerant applications across environments.
Cache API Implementations
Seamlessly integrate Valkey and Redis with Spring Cache, Hibernate, MyBatis, JCache (JSR-107), Quarkus, and Micronaut for enhanced performance and flexibility in your applications.
Microservices Integration
Effortlessly integrate Valkey and Redis with Spring Boot, Quarkus, Micronaut, and Helidon, enabling communication across microservices for faster and more efficient development.
Web Session Management
Use simplified Valkey or Redis based session management across application nodes for Apache Tomcat, Spring Session, and Micronaut Session.
Use Cases
Application scaling
Scale Java application with Valkey and Redis based objects, collections, locks, synchronizers, and services, designed for distributed systems.
Caching
Implement Valkey and Redis based caching solutions for Java, including JCache API, Hibernate 2nd Level Cache, Spring Cache, and application-level caching.
Modernizing legacy systems
Transform legacy systems leveraging Valkey and Redis to modernize outdated infrastructure into a cutting-edge, scalable, and high-performance solution for real-time data needs.
Distributed computation
Process large amount of data stored in Valkey and Redis using distributed Java tasks with scheduling and parallel execution.
Web Session Clustering
User session load balancing with Valkey and Redis based sessing management for Apache Tomcat, Spring and Micronaut.
Messaging
Valkey and Redis based Java message broker for Pub/Sub and Stream messaging.
Industries
Financial Services
Redisson provides secure transaction processing for financial institutions, leveraging distributed locks and Java transactions API to ensure data consistency. Its near-cache implementation accelerates customer account access while maintaining regulatory compliance.
Airlines
Airlines utilize Redisson's distributed Java collections for real-time reservation management. Its high-performance caching accelerates flight data retrieval, while fault-tolerant distributed services ensure booking system reliability across global operations.
E-Commerce and Retail
Retailers implement Redisson to manage inventory and customer data across multiple channels. Its caching capabilities enable personalized marketing campaigns, while distributed collections support real-time product availability updates and promotional pricing management.
Telecommunications
Telecommunication providers rely on Redisson's scalable architecture to handle millions of subscriber records. Its distributed services manage real-time billing operations, while near-caching accelerates customer profile retrieval for call center applications.
Insurance
Insurance companies employ Redisson to process claims data efficiently across distributed systems. Its transaction support ensures policy information integrity, while caching strategies accelerate risk assessment calculations and policyholder data retrieval.
Software
Software companies integrate Redisson for microservices communication and distributed application scaling. Its zero-learning-curve Java collections simplify Redis implementation, while reactive interfaces support high-throughput, responsive application development.
Ultimate Replacement
Spring Data Redis Replacement
Redisson offers advantages like advanced caching (45x faster), distributed locks, rich Java collections, and RxJava and Reactive programming models support, simplifying Redis integration compared to Spring Data Redis.
CompareJedis Replacement
Simplify interaction with Valkey and Redis through a Java developer-friendly API. Discover new objects, locks, collections, and services not available in Jedis.
CompareLettuce Replacement
Redisson offers high-level distributed objects, locks, and collections, simplifying complex operations with Valkey and Redis, while Lettuce focuses on low-level communication, requiring more effort for implementing advanced distributed features.
CompareTerracotta Ehcache Replacement
Redisson extends Valkey and Redis with distributed caching, locks, queues, and maps, enabling scalable, high-performance applications, while Ehcache is limited to in-memory caching without built-in distributed data structures or services.
CompareHazlecast Replacement
Redisson leverages Valkey and Redis simplicity and robustness, making it easier for developers to implement distributed systems without complex configurations.
Apache Ignite Replacement
Redisson offers simpler setup, lower latency, and seamless Valkey and Redis integration with distributed objects, locks, and queues.
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