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3 repositorios

Awesome GitHub RepositoriesCustom Query Execution

Capabilities for executing arbitrary, domain-specific query language statements to retrieve structured data from systems.

Distinct from Custom Query Languages: Unlike general SQL custom languages, this refers to the execution of a specific forensic DSL on remote endpoints.

Explore 3 awesome GitHub repositories matching data & databases · Custom Query Execution. Refine with filters or upvote what's useful.

Awesome Custom Query Execution GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • apache/datafusionAvatar de apache

    apache/datafusion

    8,908Ver en GitHub↗

    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
    Ver en GitHub↗8,908
  • datlechin/tableproAvatar de datlechin

    datlechin/TablePro

    4,471Ver en GitHub↗

    TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

    Executes custom SQL queries with client-side pagination and local sorting of cached results.

    Swift
    Ver en GitHub↗4,471
  • velocidex/velociraptorAvatar de Velocidex

    Velocidex/velociraptor

    3,769Ver en GitHub↗

    Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o

    Allows the execution of arbitrary query language statements on endpoints to retrieve precise system data for investigation.

    Godigital-forensicsendpoint-discoveryendpoint-protection
    Ver en GitHub↗3,769
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  3. Custom Query Execution

Explorar subetiquetas

  • Extensible Query Execution FrameworksFrameworks 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.