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Awesome GitHub RepositoriesDistributed Data Filters
Executes queries to retrieve matching records from cluster members instead of iterating locally.
Distinct from Data Query Filters: Distinct from Distributed SQL Querying: focuses on the distributive filtering mechanism rather than the full SQL query engine.
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Awesome Distributed Data Filters GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570Ver en GitHubHazelcast 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
Executes queries to retrieve only matching records from cluster members instead of iterating over the full dataset locally.
Javabig-datacachingdata-in-motion
