Auto Tiering Offers Twice the Throughput at Half the Latency for Large Datasets

Redis Enterprise 7.2 offers fast data access through its in-memory storage, but traditional disk-based solutions can be limiting due to the need for developers to build an entire data management system. To overcome this, Redis Enterprise introduces auto tiering, which automatically manages data and stores frequently accessed data in DRAM and less frequently accessed data on SSDs. This approach doubles throughput and cuts latency by half, while also reducing infrastructure costs up to 70%. The integration of Speedb, a key-value storage engine, further enhances performance, making it suitable for applications with large datasets, such as e-commerce, finance, location-based computing, medical image analysis research, and gaming, where fast data access is crucial.