2 repos
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.
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.
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.