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Systems for tracking access, write, and update statistics for distributed data structures.
Distinct from Access Pattern Monitors: Distinct from Access Pattern Monitors: focuses on operational statistics (access/write counts) rather than access patterns for optimization.
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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
Tracks access, write, and update statistics for distributed data structures to provide visibility into usage patterns.