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2 रिपॉजिटरी

Awesome GitHub RepositoriesMutation Streaming

Real-time streaming of database mutation logs to external systems.

Distinct from Mutation Monitors: Distinct from Mutation Monitors which track operation status; this focuses on the continuous feed of the data changes themselves.

Explore 2 awesome GitHub repositories matching data & databases · Mutation Streaming. Refine with filters or upvote what's useful.

Awesome Mutation Streaming GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • apple/foundationdbapple का अवतार

    apple/foundationdb

    16,446GitHub पर देखें↗

    FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database engine that ensures strict serializability and data consistency across a cluster of servers using a shared-nothing architecture. The system is distinguished by its multi-region replication capabilities, allowing data to be synchronized across different datacenters for high availability and disaster recovery. It utilizes optimistic concurrency control to manage distributed transactions and employs a majority-based coordination system to maintain cluster state. The platform provides

    Provides a continuous feed of database mutations for external systems to react to in real time.

    C++aciddistributed-databasefoundationdb
    GitHub पर देखें↗16,446
  • hazelcast/hazelcasthazelcast का अवतार

    hazelcast/hazelcast

    6,570GitHub पर देखें↗

    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

    Maintains a chronological journal of changes made to maps or caches to enable event streaming.

    Javabig-datacachingdata-in-motion
    GitHub पर देखें↗6,570
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