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Redis

Redis is a fast open source database, mainly used as a cache, message broker, or key-value database. It is appreciated for its exceptional performance and numerous features. All data is stored in memory, allowing extremely fast response times.

Top 10

of the most popular databases.

  • Memory

    Data stored in memory for extremely fast response times, ideal for data caching.

    Memory

  • Key-value

    Key-value database, and complex data structures (Strings, Lists, Sets, Hashes).

    Key-value

  • Data persistence

    Persistence mechanisms to ensure that data is not lost in case of failure or restart.

    Data persistence

  • High availability

    Redis Sentinel to monitor instances and perform automatic failover in case of failure, and Redis Cluster to replicate and distribute data across multiple nodes.

    High availability

  • Publication and subscription

    Possibility for clients to publish messages on channels that can be subscribed to.

    Publication and subscription

  • Expirations and TTL

    Associating an expiration time with each key, ideal for cache systems.

    Expirations and TTL

  • Lua scripting

    Execution of atomic Lua scripts in the database to optimize certain complex operations.

    Lua scripting

TimActive expertise

  • Implementation of a caching architecture to store the results of frequently executed queries

  • Optimization of object caching with a configuration that efficiently manages TTL

  • Centralized storage and management of user sessions, allowing them to remain connected in case of server switching

  • Optimization of distributed session management to promote high availability

  • Integration of Redis Streams to manage real-time data streams

  • Configuration to serve as a buffer or queue in systems requiring batch processing

  • Development of real-time messaging systems

  • Optimization of temporary data usage with services like Kafka

  • Implementation of Redis Lists or Redis Sorted Sets to manage queues and ensure efficient management of asynchronous tasks

  • Implementation of geospatial search features to process real-time location data

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