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Retrieving data from local backup replicas to minimize network latency.
Distinct from Local Data Caches: Distinct from Local Data Caches: focuses on reading from cluster-managed backup replicas rather than client-side offline caches.
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Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Allows reading data from local backup copies to reduce network requests and latency.