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Columnar Storage Engines · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesColumnar Storage Engines

Storage formats optimized for analytical workloads by organizing data by column rather than row.

Distinguishing note: Specifically addresses the storage and replication of columnar data for HTAP workloads.

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

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  • ClickHouse/ClickHouse

    ClickHouse/ClickHouse

    45,963View on GitHub↗

    ClickHouse is a high-performance, columnar analytical database designed for real-time query execution and large-scale data aggregation. It functions as a distributed data warehouse capable of processing petabytes of information, while also providing an embedded engine that integrates directly into applications for native query capabilities without external dependencies. The system is built to handle high-throughput ingestion and complex analytical workloads, delivering millisecond-level latency for interactive dashboards and operational monitoring. The platform distinguishes itself through ad

    Implements a columnar storage architecture to accelerate high-speed analytical queries by reading only required data attributes.

    C++aianalyticsbig-data
    45,963View on GitHub↗
  • pingcap/tidb

    pingcap/tidb

    39,842View on GitHub↗

    TiDB is a horizontally scalable, distributed SQL database designed to provide consistent transactional storage and high-performance analytical processing within a single unified architecture. It utilizes a decoupled compute-storage design and a distributed key-value storage layer to ensure horizontal scalability and efficient range-based queries. By employing a consensus-based replication algorithm, the system maintains high availability and automatic failover across multiple nodes and geographical regions. The platform distinguishes itself through its hybrid transactional and analytical proc

    TiDB synchronizes transactional data into a columnar storage engine using standard commands to enable real-time analytical processing alongside traditional row-based storage operations.

    Gocloud-nativedatabasedistributed-database
    39,842View on GitHub↗