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2 Repos

Awesome GitHub RepositoriesData Pipeline Connectors

Specialized interfaces for moving data between databases and distributed processing frameworks.

Distinct from Big Data Processing: Focuses on the movement and integration pipeline rather than the processing logic itself

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

Awesome Data Pipeline Connectors GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • vesoft-inc/nebulaAvatar von vesoft-inc

    vesoft-inc/nebula

    12,239Auf GitHub ansehen↗

    Nebula is a distributed graph database designed for storing and querying massive volumes of interconnected vertices and edges across a horizontally scalable cluster. It functions as a Kubernetes-native database and a distributed graph analytics engine, utilizing a Raft-based distributed store to ensure strong consistency and high availability. The system features an OpenCypher query engine for performing complex graph traversals and pattern matching. It distinguishes itself with a decoupled compute-storage architecture and a shared-nothing distributed design, allowing query processing and dat

    Enables high-volume data exchange between the graph database and distributed frameworks like Apache Spark and Flink.

    C++big-datacppdatabase
    Auf GitHub ansehen↗12,239
  • hazelcast/hazelcastAvatar von hazelcast

    hazelcast/hazelcast

    6,570Auf GitHub ansehen↗

    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

    Moves data between internal pipelines and external systems like messaging queues and databases via built-in connectors.

    Javabig-datacachingdata-in-motion
    Auf GitHub ansehen↗6,570
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