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Redis
Deploy with Redis
About Redis on Bizfly Cloud Database
Redis, which stands for Remote Dictionary Server, is an open-source, in-memory key-value data store. Recognized for its speed, flexibility, and convenience, Redis is used by developers worldwide for a variety of purposes such as database, cache, streaming engine, and message broker.
With sub-millisecond response times, Redis can handle millions of requests per second, making it an ideal choice for real-time applications like gaming, ad technology, analytics, financial services, logistics, healthcare, and IoT.
Deploying a powerful data system like Redis is quick and easy with Bizfly Cloud Database!
What can you build with Redis on Bizfly Cloud Database

Caching
Using in-memory caching helps reduce latency, increase throughput, and lessen the load on relational or NoSQL databases. Redis responds well to continuous queries requiring instant response speeds, such as image data, files, and metadata, which are often cached with Redis.
Chat, messaging and queues
With its diverse data structures, Redis is suitable for chat room applications, real-time comment streams, social feeds, and server-to-server communications. The Redis List structure makes it easy to implement queues. Its features are also suitable for use as a message broker.
Game applications
Ideal for building real-time leaderboards for games. Update scores in real time and change rankings instantly by score. Or use it to process data sequences over time using time-based calculations.
Rich media data streaming
Redis is a popular choice for storing and managing session data for large applications. Its high throughput and fast recovery capabilities make Redis optimal for managing session data such as user logins, authentication, and user activity.
Rich media data streaming
Redis can be used to store metadata for user information, viewing history, authentication codes/notifications for millions of users, and open files, or as a CDN for video streaming to millions of viewers on both mobile and desktop.
Geospatial data storage
With its ability to store, process, and analyze geospatial data in real time, Redis enables quick and easy deployment of geospatial data. Redis can be used to determine features such as route history, distance traveled, and favorite locations for applications.
Machine Learning
For use cases such as fraud detection in games and financial services, real-time bidding in advertising technology, online matchmaking, ride-sharing, direct data processing, and automated rapid decision-making within just a few milliseconds, the ability to handle and process data instantly is extremely important.
Real-Time Analytics
Redis can be integrated with Apache Kafka to serve as a data storage layer, enabling real-time data ingestion, processing, and analytics with latency under 1 millisecond. This makes it ideal for real-time analytics tasks such as analyzing social media channels, targeting advertising campaigns, personalizing user experiences, and IoT.
Enjoy outstanding benefits from Redis with Bizfly Cloud Database
Superior performance
With in-memory data processing, data processing latency is reduced to microseconds, allowing average read/write operations to take only fractions of a millisecond and handling millions of operations per second.
Flexible data structures
Unlike traditional key-value storage with limited data structures, Redis offers a wide variety of data structures to meet diverse needs. Redis data types include: Strings, Lists, Sets, Sorted Sets, Hashes, Bitmaps, HyperLogLogs, Streams, Geospatial, and JSON.
Easy to use
With diverse data structures, programming language support, and various options for interacting with data, developers can write simpler command structures compared to traditional databases. Redis has over a hundred client libraries available from its developer community. Supported languages include Java, Python, PHP, C, C++, C#, JavaScript, Node.js, Ruby, R, Go, and more.
Ready and stable
With a primary backup and asynchronous replica backups, data is copied to multiple servers. Thanks to distributed requests across different servers and automatic failover, system downtime is minimized. Redis also supports periodic backups (saving Redis data snapshots) to enhance stability.
High availability and scalability
Provides native backup on a single node or cluster, ensuring high availability when developers build high-performance, scalable applications. The system can be expanded easily as usage grows, meeting changing real-world needs.
Flexibility and utility
With a large, robust, and dynamic open-source community, Redis is built on standard modules, supporting new data definitions and unlimited data volume and throughput. This allows developers to freely meet their application development needs.
Discover a powerful set of advantages
Build applications with Redis—the most popular database system for five consecutive years.
Delivers extremely fast processing performance, achieving microsecond read speeds and millisecond write speeds, making it ideal for building modern microservices applications.
Easily set up, operate, and scale cloud-based cache memory, helping to quickly boost processing speeds and reduce latency during application development.