1 dépôt
Awesome GitHub RepositoriesServer-Side Data Processors
Executes data processing logic directly on the storage node to minimize network overhead.
Distinguishing note: None of the candidates were relevant; they focused on mobile/IoT firmware updates or image processing, whereas this is a core distributed data storage capability.
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Awesome Server-Side Data Processors GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570Voir sur 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
Processes data updates directly within the cluster to avoid the overhead of transferring entries to the client and back.
Javabig-datacachingdata-in-motion
