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Mechanisms for triggering custom code in response to modifications in distributed data structures.
Distinct from React-to-Native Widget Mappings: Distinct from React-to-Native Widget Mappings: focuses on backend data structure event listeners rather than UI component mapping.
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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
Triggers custom logic in response to add, update, or remove operations performed on replicated data structures.
json-joy is a comprehensive library for building real-time collaborative applications and distributed systems. It provides a robust framework for managing shared JSON-like data structures that automatically merge concurrent edits from multiple users, ensuring consistent state across all replicas without requiring a central coordination server. The project distinguishes itself through a high-performance approach to data handling, utilizing conflict-free replicated data types and logical clock-based synchronization to maintain data integrity. It includes a specialized engine for navigating and
Implements event listeners that trigger custom logic in response to modifications in distributed data structures.