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9 个仓库

Awesome GitHub RepositoriesRemote Query Execution

Capabilities for executing complex queries over network protocols like websockets.

Distinguishing note: Focuses on the remote execution aspect of database interaction.

Explore 9 awesome GitHub repositories matching data & databases · Remote Query Execution. Refine with filters or upvote what's useful.

Awesome Remote Query Execution GitHub Repositories

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  • pola-rs/polarspola-rs 的头像

    pola-rs/polars

    38,855在 GitHub 上查看↗

    Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e

    Runs data processing queries on remote infrastructure using the same interface as local operations.

    Rustarrowdataframedataframe-library
    在 GitHub 上查看↗38,855
  • pubkey/rxdbpubkey 的头像

    pubkey/rxdb

    23,048在 GitHub 上查看↗

    This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d

    Executes complex database queries on remote instances to minimize local resource usage.

    TypeScriptangularbrowser-databasecouchdb
    在 GitHub 上查看↗23,048
  • prestodb/prestoprestodb 的头像

    prestodb/presto

    16,711在 GitHub 上查看↗

    Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

    Sends SQL statements from a client environment to a distributed query engine and retrieves resulting data sets for local processing.

    Javabig-datadatahadoop
    在 GitHub 上查看↗16,711
  • perspective-dev/perspectiveperspective-dev 的头像

    perspective-dev/perspective

    10,981在 GitHub 上查看↗

    Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con

    Connects a browser frontend to a server-side engine via WebSockets to analyze data stored on a remote server.

    C++analyticsbidata-visualization
    在 GitHub 上查看↗10,981
  • sandermertens/flecsSanderMertens 的头像

    SanderMertens/flecs

    8,045在 GitHub 上查看↗

    Flecs is a high-performance entity component system framework and data-oriented programming library. It serves as a simulation engine core and game engine architecture tool, decoupling state from behavior by separating entities, components, and systems. The framework features a runtime reflection layer for dynamic data inspection and a built-in scripting system for defining entity behavior without recompilation. It also includes a network interface and REST API for remote simulation administration and state querying. The library covers a broad surface of simulation capabilities, including ar

    Implements capabilities for executing complex entity and component queries over network protocols.

    Cc99cpp11cpp14
    在 GitHub 上查看↗8,045
  • skim-rs/skimskim-rs 的头像

    skim-rs/skim

    6,592在 GitHub 上查看↗

    Skim is a cross-platform interactive fuzzy finder that runs as a terminal application, a Rust library, a Vim and Neovim plugin, and a shell integration tool. It provides real-time filtering and selection from lists of items, supporting keyboard and mouse navigation, live preview panes, and multi-select functionality across Linux, macOS, and Windows. The tool distinguishes itself through a composable query expression tree that supports fuzzy, exact, inverse, prefix, suffix, and logical AND/OR operators, combined with a Smith-Waterman scoring engine that penalizes typos and gaps for natural rel

    Runs a network server that accepts fuzzy search queries and returns results remotely.

    Rustfuzzyfinderrustskim
    在 GitHub 上查看↗6,592
  • eventual-inc/daftEventual-Inc 的头像

    Eventual-Inc/Daft

    5,225在 GitHub 上查看↗

    Daft is a distributed dataframe library and multimodal data processor designed to handle large-scale structured and unstructured data. It functions as a vectorized execution engine that processes tables alongside images, audio, and video, utilizing a unified schema to manage diverse data types. The project distinguishes itself by combining distributed data engineering with large-scale AI inference. It provides an AI data pipeline for batch-optimizing model prompts and generating high-dimensional text embeddings, while utilizing zero-copy memory sharing to execute custom Python functions witho

    Distributes processing tasks across a remote compute cluster to leverage external hardware resources.

    Rustai-engineeringai-pipelinearrow
    在 GitHub 上查看↗5,225
  • phiresky/sql.js-httpvfsphiresky 的头像

    phiresky/sql.js-httpvfs

    3,685在 GitHub 上查看↗

    sql.js-httpvfs is a virtual file system and loader designed to execute SQL queries against read-only SQLite databases hosted on remote static file servers. It enables the retrieval of database files over HTTP without requiring the entire file to be downloaded to the client. The project distinguishes itself by using byte-range HTTP fetching to simulate local random-access reads. It includes a chunking tool that splits large databases into smaller pieces via a JSON configuration, which helps bypass file size limits and optimizes caching. The system covers a range of capabilities including remo

    Executes SQL queries against a remote database by fetching only the required data chunks via HTTP range requests.

    TypeScript
    在 GitHub 上查看↗3,685
  • linq2db/linq2dblinq2db 的头像

    linq2db/linq2db

    3,239在 GitHub 上查看↗

    linq2db is a type-safe object-relational mapper that translates LINQ expressions into optimized SQL queries for multiple database providers. It functions as a database mapper that links classes to tables and includes a SQL query builder and a command-line schema tool for generating data classes from existing databases. The project provides high-performance bulk data processing for inserting and loading large volumes of records via batch or binary copy methods. It also supports advanced SQL operations, including window functions, common table expressions for recursive hierarchical querying, an

    Enables sending query expressions to a server application via network protocols to provide remote database access.

    C#accessbulk-insertsclickhouse
    在 GitHub 上查看↗3,239
  1. Home
  2. Data & Databases
  3. Remote Query Execution

探索子标签

  • Fuzzy Finder Query ServicesNetwork services that accept fuzzy search queries and return results over TCP or Unix sockets. **Distinct from Remote Query Execution:** Distinct from Remote Query Execution: focuses on fuzzy finder queries rather than general database queries.