Alternatives
Products that do what SQLFlow: SQL Stream Processing Using DuckDB does
I'm a couple years late to the party but DuckDB is blowing my mind. I couldn't find an good embedded DuckDB stream processing solution so I hacked my own, calling it SQLFlow: https://github.com/turbolytics/sql-flow SQLFlow enables writing stream transformations in pure sql, executed using DuckDB. The goal was to create a lightweight, performant stream processing engine using pure SQL transformations, DuckDB didn't disappoint! I'd love your feedback, feature requests, impressions, or just comments. I'd love to turn this into a stable, usable project that people are…
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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
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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
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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…
2025 · sqlrooms.org
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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…
2025 · app.pondpilot.io
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2024 · sql.quacking.cloud
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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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Hey HN, A few friends and I have spent the past 6 years or so developing a way to write data transformation code in a way that can easily adapt to changes in logic or data elements both upstream and downstream without the need major refactoring, regression testing, or re-orchestration. We decided to open source the project about two months ago and published a CLI tool after we realized how big of a task it was to take on incumbents like stored procedures, dbt, and psyspark. It is early days for our community and we are looking to grow and engage with others to poke holes and contribute…
2024 · github.com
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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
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2020 · github.com
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Hello HN! These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project. It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in…
Feb 2026
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We just launched a small project I'm really proud of — a turbo Database MCP server! https://centralmind.ai - Connect your database to Cursor or Windsurf in just a few clicks. - Chat with PostgreSQL, MSSQL, ClickHouse, Elasticsearch, and more. - Query huge Parquet files instantly with DuckDB in-memory mode. - No downloads, no setup headaches. Short video: https://youtu.be/BboQtxen9tA Built on top of our open-source MCP Database Gateway: https://github.com/centralmind/gateway Note: You’ll need to provide connection strings to your databases. For…
2025 · centralmind.ai
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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
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Hi HN - For the past four months I've been working (part-time, this is OSS after all) on Harlequin, a SQL IDE for DuckDB that runs in your terminal. I built this because I work in Data, and I found myself often reaching for the DuckDB CLI to quickly query CSV or Parquet data, but then hitting a wall when using the DuckDB CLI as my queries got more complex and my result sets got larger. Harlequin is a drop-in replacement for the DuckDB CLI that runs in any terminal (even over SSH), but adds a browsable data catalog, full-powered text editor (with multiple buffer support), and a scrollable…
2023 · github.com
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Hey everyone! Like many data analysts and engineers, I love SQL and the dbt ecosystem. So it bothers me that we have to use separate tools for product analytics. We do our transformations, BI work, and ad-hoc queries in SQL, but when it's time to look at funnels and flows, we have to use (and procure) a separate platform like Mixpanel or Amplitude. This dbt package is a (very rough) start at fixing that. With it, you can create event streams and run funnel analyses via dbt[0]. More features like flows and retention are coming soon! But I'm mostly curious how you all are doing product…
2022 · github.com
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