Showing 3 open source projects for "data structures"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    Google Node.js Datastore

    Google Node.js Datastore

    Node.js client for Google Cloud Datastore

    Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications.
    Downloads: 10 This Week
    Last Update:
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  • 2
    DynamoDB Toolbox

    DynamoDB Toolbox

    Lightweight and type-safe query builder for DynamoDB and TypeScript

    A high-level abstraction library for Amazon DynamoDB, simplifying data modeling and query operations in JavaScript applications.
    Downloads: 11 This Week
    Last Update:
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  • 3
    TailwindSQL

    TailwindSQL

    TailwindSQL lets you write SQL queries using Tailwind-style class name

    ...Inspired by the simplicity and utility of Tailwind CSS, TailwindSQL allows developers to describe database queries using a familiar syntax such as db-table-column-where-field-value, collapsing traditional SQL into readable, utility-driven structures that map directly to data fetches. When used in React Server Components, these class-style queries are parsed and executed at render time with zero client-side JavaScript, letting you fetch and render data without writing SQL strings explicitly. The project is built on SQLite with better-sqlite3 for fast local access, and it supports rendering results in different formats such as text, lists, tables, or JSON directly from markup.
    Downloads: 0 This Week
    Last Update:
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