Showing 4 open source projects for "parallel compression"

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    HDF5

    HDF5

    Official HDF5® Library Repository

    HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently.
    Downloads: 11 This Week
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  • 2
    LinDB

    LinDB

    LinDB is a scalable, high performance, high availability database

    LinDB is a scalable, high-performance, high-availability distributed time series database. A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. ...
    Downloads: 0 This Week
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  • 3
    LocustDB

    LocustDB

    Massively parallel, high performance analytics database

    An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files...
    Downloads: 0 This Week
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  • 4
    Sqlite Index Blaster

    Sqlite Index Blaster

    Create huge Sqlite indexes at breakneck speeds

    SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency.
    Downloads: 0 This Week
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