Showing 5 open source projects for "processing"

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    Gemini 3 and 200+ AI Models on One Platform

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  • 1
    Logstash

    Logstash

    Centralize, transform and stash your data

    Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose.
    Downloads: 4 This Week
    Last Update:
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  • 2
    With Advisory Lock

    With Advisory Lock

    Advisory locking for ActiveRecord

    ...It allows developers to wrap critical code sections with database-level locks to prevent race conditions across concurrent processes or threads. It’s especially useful in distributed systems, background job processing, or scheduled tasks where application-level mutexes aren't sufficient.
    Downloads: 0 This Week
    Last Update:
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  • 3
    YALTools
    The YALTools is a set of command line tools written in ruby for CouchDB. It provides a unix like command set, mkdb, rmdb, lsdbs, lsdocs, putdocs, csv2json, and more. It aims to provide a power of filters and pipes in *NIX environment.
    Downloads: 1 This Week
    Last Update:
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  • 4

    Scalaris

    Distributed, transactional key-value store

    ...It was the first NoSQL database, that supported the ACID properties for multi-key transactions. It can be used for building scalable Web 2.0 services. Scalaris uses a structured overlay with a non-blocking Paxos commit protocol for transaction processing with strong consistency over replicas. Scalaris is implemented in Erlang.
    Downloads: 0 This Week
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
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  • 5
    QDBM is a library of routines for managing a database. It is developed referring to GDBM for the purpose of the following three points: higher processing speed, smaller size of a database file, and simpler API..
    Downloads: 5 This Week
    Last Update:
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