Showing 5 open source projects for "big linux"

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    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....
    Downloads: 2 This Week
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  • 2
    Redash

    Redash

    Connect to any data source, easily visualize and share your data

    Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for...
    Downloads: 5 This Week
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  • 3

    Occursions

    Fast customizable time series web database for big data like log files

    Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. You can use it too. Who...
    Downloads: 0 This Week
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  • 4
    JDOM extention to manage huge (big) xml file. Make able to have a persisted Document Object Model (DOM).
    Downloads: 0 This Week
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  • 5
    This is an implementation of the java DOM specification that keeps all its "parsed-node" data in disk files instead of RAM. This means you can create really big DOM trees an not use all your RAM.
    Downloads: 0 This Week
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