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Alternatives

Products that do what DuckDB + React = SQLRooms Framework for Analytics Apps Without Backend does

We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…

  1. 1

    Easily explore local data files with DuckDB

    2025

  2. 2
    8base211

    Bring powerful apps to market fast - 8base GraphQL Backend

    2020

  3. 3
    Mongoku183

    A neat Web-based GUI for MongoDB

    2019

  4. 4NO
  5. 5OS
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    In-browser SQL Workbench for data querying & visualization

    2024

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    restdb.io131

    Simple online NoSQL database backend

    2016

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    The fully-featured GraphQL Server

    2022

  9. 9SL

    At Arcesium, we needed a way to run SQL-driven CRUD operations, manage slowly-changing dimensions, and handle schema evolution on our cloud data lakes—without the overhead of spinning up distributed clusters or relying on vendor-managed query services. That’s why we built SwiftLake, a lightweight open-source library that brings Apache Iceberg and DuckDB together: - Lightweight & cluster-free: Runs as a single Java service with embedded DuckDB—no distributed infra required. - Full CRUD and SCD1/SCD2 support: Reads, inserts/appends, updates, deletes, and merges with ACID guarantees.…

    Sep 2025 · github.com

  10. 10

    Build production grade web applications in minutes

    2024

  11. 11
    lolaDB84

    Build data rich web apps without building an API

    2023

  12. 12MI
  13. 138R
  14. 14SP
  15. 15QD

    I'm building a privacy focused analytics tool, using WebAssembly and DuckDB. You can upload your files (CSV, JSON and Parquet), and interact with them as where they a SQL Server. Your data never leaves your computer, however I do track page views and visitors using Plausible. The next steps are to add forecasting and segmentation, as well as some data visualisation capabilities. I would love to hear your opinion. All code for the repo is available here: https://github.com/dilovancelik/client_side_analytics

    2024 · dilovancelik.github.io

  16. 16GQ
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    soarSQL98

    The analytical SQL editor - powered by duckDB

    2025

  19. 19PW

    Turn any SQL code block on your website into a runnable query editor with just a tag. Powered by DuckDB WASM running entirely in the browser – no backend needed. Perfect for documentation sites, tutorials, and blog posts. Features: • Full SQL analytics engine (DuckDB) running client-side • Syntax highlighting with live editing • One-click query execution (or Ctrl+Enter) • Works with any static site – just add the CDN script • Only 23KB minified, loads DuckDB on-demand • Dark/light theme support Try it: https://widget.pondpilot.io GitHub:…

    2025 · github.com

  20. 20RN
  21. 21

    Realtime analytics database

    2014

  22. 22AO

    It’s just the back end so it logs to MongoDB database so you can add any UI you want to it, feel free to contribute! (Suggestion’?)

    2022 · github.com

  23. 23LD

    Over the last 12 months, in parallel to using Google BigQuery, I have built my own processing pipeline using SQLite and DuckDB. What amazes me is that it works surprisingly well and costs much less than using BigQuery. Roughly speaking, here's what I do: A SQLite database receives IoT sensor data via a very simple PHP function. I currently use the FlightPHP framework for this. The data is written to a table within the SQLite database (WAL mode activated) and states are updated by the machines using triggers. Example of a trigger CREATE TRIGGER message_added AFTER INSERT ON messages BEGIN…

    2023

  24. 24DQ

    What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily. Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup. - Query local files (CSV, Parquet, Excel) – data never leaves your machine - Handles 100M+ rows, 50GB+ files in a browser tab - Full UI: Monaco editor, schema explorer, spreadsheet-style results grid - Share SQL via URL – anyone can run your query instantly - BigQuery connector built-in (Snowflake coming) v0.2 – actively developing. Feedback welcome. GitHub (MIT):…

    Dec 2025 · sql.dbxlite.com

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