Redis is a software company headquartered in Mountain View, California. It serves as a data platform. It is known to work in real time. It is known to be one of the most widely preferred databases. It is preferred mainly for its affordability and range of deployment options. Redis comes with many modules. It offers scope for creativity as well. It is known for its enterprise-grade DevOps. It is also known for its best-in-class security and high-quality support. Redis also comes with search capabilities. It enables users to perform searches based on different factors such as language, features, verticals and commands.
63,940
websites using Redis
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Websites using Redis by countrymarket share · top 8 countries
🇩🇪Germany
🇬🇧United Kingdom
🇸🇪Sweden
🇧🇷Brazil
🇨🇦Canada
🇮🇳India
🇮🇩Indonesia
🇳🇱Netherlands
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Websites using Redis by industrydetected industries
Shopping78%
SaaS & Cloud22%
Websites using Redis
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Frequently asked
What is Redis and what are its primary use cases?›
Redis is an in-memory, open-source data structure store that can be used as a database, cache, or message broker. Its primary use cases include caching data for faster retrieval, session management, rate-limiting, queuing tasks for background processing, and real-time analytics.
What data structures does Redis support?›
Redis supports multiple data structures, including strings, lists, sets, hash maps, and sorted sets. It also has support for geospatial index and queries, bitmaps, and hyperloglogs for different types of data manipulation and access patterns.
Can Redis persist data on disk?›
Yes, Redis can persist data on disk using two methods: snapshots (RDB) and append-only file (AOF). Snapshots create a point-in-time copy of the dataset, while AOF logs every write operation. You can configure Redis to use either of these methods or a combination of both.
How does Redis handle concurrency and data consistency?›
Redis uses a single-threaded event-driven architecture. This means that it serves one request at a time, avoiding concurrency and consistency issues. It also supports optimistic locking using the WATCH command, enabling transactional functionality to ensure data consistency in concurrent scenarios.
What is clustering in Redis, and why is it useful?›
Clustering in Redis is a distributed setup that allows multiple Redis instances to work together to store and serve data. It helps in horizontal scaling by partitioning the dataset among multiple nodes and expands the total available memory and processing power. Clustering also improves fault tolerance and high availability by replicating data across multiple nodes.
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