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Dev tools · alternatives · 2026

24 alternatives to PondPilot – Run SQL on DuckDB/CSV/etc. Locally via WASM (Open-Source)

Hi HN! We built PondPilot – a fully client-side data exploration tool powered by DuckDB. It’s open-source and built for speed, privacy, and simplicity. Try it: https://app.pondpilot.io GitHub: https://github.com/pondpilot/pondpilot You can: - Run fast SQL queries directly in your browser - Explore CSV, Parquet, JSON, or .duckdb files without uploading - Keep your data 100% local (it never leaves your device) - Install as a PWA and work offline - Use it read-only, with real-time updates when files change It’s designed as a lightweight alternative to notebooks or…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1DU

    I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…

    2025 · demo.duckui.com · its alternatives →

  2. 2

    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 · its alternatives →

  3. 3CQ

    Import CSVs, write SQL, and instantly share it with anyone. Runs 100% in-browser, so you're in control of your data.

    2022 · csvfiddle.io · its alternatives →

  4. 4

    Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.

    2024 · sql-workbench.com · its alternatives →

  5. 5

    Easily explore local data files with DuckDB

    2025 · github.com · its alternatives →

  6. 6
    ClaySQL▲141

    Run SQL queries directly in Google Sheets

    2021 · chromewebstore.google.com · its alternatives →

  7. 7
    soarSQL▲98

    The analytical SQL editor - powered by duckDB

    2025 · its alternatives →

  8. 8SO

    SQL OnLine - SQLite, DuckDB, PGLite, MariaDB / MySQL, PostgreSQL, MS SQL Server. AI error analysis, User-friendly interface for Data Science. No registration for start, No DownLoad, No Install. | sql compiler, federated queries, temporal query federation, BI Analytics

    2025 · sqliteonline.com · its alternatives →

  9. 9

    WhatTheDuck is an in-browser sql tool to analyze csv files that uses duckdb-wasm under the hood. Please provide feedback/issues/pull requests.

    2024 · github.com · its alternatives →

  10. 10

    Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…

    2024 · github.com · its alternatives →

  11. 11

    WhatTheDuck is a free-to-use tool that allows you to run SQL queries on your CSV files right in your browser. No data is sent anywhere. We've leveraged the power of DuckDB over WASM to make this possible. Do try it out and hit us with any feedback.

    2023 · whattheduck.incentius.com · its alternatives →

  12. 12

    DuckDB for streaming data. Contribute to turbolytics/sql-flow development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  13. 13

    In-browser SQL Workbench for data querying & visualization

    2024 · sql-workbench.com · its alternatives →

  14. 14

    Hello Everyone! We built SQLFlow as a lightweight stream processing engine. We leverage DuckDB as the stream processing engine, which gives SQLFlow the ability to process 10's of thousands of messages a second using ~250MiB of memory! DuckDB also supports a rich ecosystem of sinks and connectors! https://sql-flow.com/docs/category/tutorials/ https://github.com/turbolytics/sql-flow We were tired of running JVM's for simple stream processing, and also of bespoke one off stream processors I would love your feedback, criticisms and/or…

    Dec 2025 · sql-flow.com · its alternatives →

  15. 15

    Run DuckDB as a server with Arrow Flight SQL!

    2025 · gizmodata.com · its alternatives →

  16. 16
    chdb▲88

    Embedded SQL OLAP engine powered by ClickHouse

    2023 · clickhouse.com · its alternatives →

  17. 17

    Try running a query anywhere from PostgreSQL to DuckDB without leaving your browser.

    2023 · codapi.org · its alternatives →

  18. 18

    Hi, I'm Philip Moore - the founder of GizmoData, and creator of GizmoSQL - an Apache Arrow Flight SQL Server - with DuckDB (or SQLite) back-end execution engines. GizmoSQL is a composable SQL server with Arrow Flight SQL, DuckDB, and SQLite - with the intention of making it easy to run DuckDB (or SQLite) as a server - usable by multiple people from a client (remote) computer. It also adds security (authentication) and encryption of traffic with TLS. To run GizmoSQL - see the steps in the README.md - where you can see how easy it is to run the server as well as how to connect via ADBC and…

    2025 · github.com · its alternatives →

  19. 19

    Hiya HN! TextQuery is my sabbatical project that I have been working on for the past six months. It was born out of a personal pain point. Anytime I wanted to analyze raw CSV data, I had to create a schema first before I could import it for querying. And to create charts, I had to use yet another tool. I also disliked how bad charts from popular tools like Excel, Google Sheets looked like. I wanted an easier way to do this and TextQuery was my solution: an all-in-one tool to query CSV files using SQL and create beautiful visualizations as well. Currently, it's a macOS app and focused on CSV…

    2025 · textquery.app · its alternatives →

  20. 20
    Anyquery▲110

    Query anything with SQL (e.g. Notion, GitHub, JSON)

    2024 · anyquery.dev · its alternatives →

  21. 21

    Repere lets you drop CSV/JSON/Parquet/XLSX files into your browser and immediately query them with full DuckDB SQL. Nothing gets uploaded, everything runs locally via DuckDB WASM. Unlike Excel and Google Sheet it can handles millions of rows easily. Features: - Filter, sort, join, pivot across multiple files Every transformation becomes a node in a visual pipeline (DAG) - Full undo/redo, real-time recomputation - Export results or replay pipelines on new files with the same schema - Works offline - Sparklines, themes and charts

    Jan 2026 · repere.ai · its alternatives →

  22. 22
    SQLPilot▲149

    AI First SQL Editor

    2024 · its alternatives →

  23. 23

    Quick and dirty duckdb in the browser, parquet!

    2025 · quak.dev · its alternatives →

  24. 24

    SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.

    2025 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →