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Awesome GitHub RepositoriesMap Data Processors
Systems that integrate in-memory data structures into real-time processing pipelines.
Distinct from Real-Time Map Data Processors: Distinct from Real-Time Data Streaming: focuses on streaming data from in-memory maps specifically, rather than general event streams.
Explore 1 awesome GitHub repository matching data & databases · Map Data Processors. Refine with filters or upvote what's useful.
Awesome Map Data Processors GitHub Repositories
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- hazelcast/hazelcast
hazelcast/hazelcast
6,570GitHub पर देखेंHazelcast 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
Integrates in-memory data structures into processing pipelines to enable real-time analytics and data enrichment workflows.
Javabig-datacachingdata-in-motion
