Showing 4 open source projects for "data structures"

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  • 1
    rosedb

    rosedb

    High performance NoSQL database based on bitcask

    A high-performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. rosedb is a fast, stable, and embedded NoSQL database based on bitcask, that supports a variety of data structures such as string, list, hash, set, and sorted set. Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask.
    Downloads: 0 This Week
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  • 2
    NutsDB

    NutsDB

    A simple, fast, embeddable, persistent key/value store written in Go

    A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs. Read...
    Downloads: 0 This Week
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  • 3
    Storm

    Storm

    Simple and powerful toolkit for BoltDB

    Storm is a simple and powerful toolkit for BoltDB. Basically, Storm provides indexes, a wide range of methods to store and fetch data, an advanced query system, and much more. Save creates or updates all the required indexes and buckets, checks the unique constraints and saves the object to the store. Storm can auto-increment integer values so you don't have to worry about that when saving your objects. Also, the new value is automatically inserted in your field. Any object can be fetched...
    Downloads: 0 This Week
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  • 4
    tiedot

    tiedot

    A rudimentary implementation of a basic document database in Go

    tiedot is a document database engine that uses JSON as document notation; it has a powerful query processor that supports advanced set operations; it can be embedded into your program, or run a stand-alone server using HTTP for an API. It runs on *nix and Windows operating systems. tiedot has fault-tolerant data structures that put your data safety first, while easily scales to 4+ CPU cores. tiedot has very stable performance, even with millions of records! It consistently achieves high...
    Downloads: 0 This Week
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