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Awesome GitHub RepositoriesExtensible Query Execution Frameworks

Frameworks that allow extending query execution with custom operators, data sources, and functions.

Distinct from Custom Query Execution: Distinct from Custom Query Execution: focuses on the extensibility framework for building custom engines, not just executing custom query languages.

Explore 1 awesome GitHub repository matching data & databases · Extensible Query Execution Frameworks. Refine with filters or upvote what's useful.

Awesome Extensible Query Execution Frameworks GitHub Repositories

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  • apache/datafusionAvatar von apache

    apache/datafusion

    8,908Auf GitHub ansehen↗

    Apache DataFusion is an extensible, columnar SQL query engine that runs embedded within a host application without requiring a separate server process. It processes data in columnar batches using Apache Arrow for memory-efficient analytics, and can scale analytic workloads across multiple nodes for parallel execution. The engine supports both SQL and DataFrame queries through a modular, streaming architecture that allows custom operators, data sources, functions, and optimizer rules. The engine distinguishes itself through its modular extension framework, which enables building custom query e

    Provides a modular extension framework for building custom query engines with custom operators, data sources, and functions.

    Rustarrowbig-datadataframe
    Auf GitHub ansehen↗8,908
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