Alternatives
Products that do what HuginnDB does
Keyboard-First desktop database manager
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2019 · pugsql.org
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I recently released v3 of Base, my SQLite editor for macOS. The goal of this app is to provide a comfortable native GUI for SQLite, without it turning into a massive IDE-style app. The coolest features are - That it can handle full altering of tables, which is quite finicky to do manually with SQLite. - It has a more detailed display of column constraints than most editors. Each constraint is shown as an icon if active, with full details available on clicking the icon. This update also adds support for attaching databases, which is a bit fiddly with macOS sandboxing. I'd love to hear any…
2025 · menial.co.uk
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We just launched Outerbase Studio, the open-source version of our core database offering. It works in your browser or as a desktop app and supports MySQL, PostgreSQL, and SQLite. What it does: • Connects to MySQL, PostgreSQL, and SQLite databases. • Spin up local databases directly through the UI, even if you don’t have one running. • Manage and query your data in a lightweight, intuitive interface. • Completely open source. Why we built it: We wanted to share the core Outerbase experience with the developer community as a free, open-source tool. It’s simple, fast, and removes the barriers…
2024 · github.com
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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…
Oct 2025 · demo.duckui.com
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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
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2024 · github.com
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2023 · play.questdb.io
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Hi! I've been a member of HN for fifteen years so today I'm very excited to share Plato. Plato is an Airtable-like interface for your Postgres or MySQL database. It's an admin panel for devs and non-devs alike to manage your DB. We see teams use Plato for customer support, customer success, ops, etc.. We built Plato because we think more people should be able to build and extend internal tools. We thought it was strange that even though low-code is supposed to democratize development, all of the low-code internal tool builders are marketed to engineers! Airtable is a familiar UI that fits…
2023 · plato.io
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Hi HN, Gabriel here, one of the developers at Latitude.sh (we're a bare metal cloud provider). Over the past year or so, I've been the primary developer building Latitude.sh Databases – our take on a managed PostgreSQL service. The core idea was to offer a straightforward and competitively priced option for developers who need reliable PostgreSQL without overly complex configurations, leveraging the performance benefits of running directly on bare metal. It runs on our global bare metal infrastructure. Key features we've implemented include: * Built-in monitoring & connection pooling * IP…
2025 · latitude.sh
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As the creator of TerarkDB (acquired by ByteDance in 2019), I have developed ToplingDB in recent years. ToplingDB is forked from RocksDB, where we have replaced almost all components with more efficient alternatives(db_bench shows ToplingDB is about ~8x faster than RocksDB): * MemTable: SkipList is replaced by CSPP(Crash Safe Parallel Patricia trie), which is 8x faster. * SST: BlockBasedTable is replaced by ToplingZipTable, implemented by searchable compression algo, it is very small and fast, typically less than 1μs per lookup: * Keys/Indexes are compressed using NestLoudsTrie(a…
2025 · github.com
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Hi HN, I'm Dean, the non-technical co-founder of SchemafreeSQL. We released our beta version about a year ago. You can see the HN Post here https://news.ycombinator.com/item?id=30291592 Today I am pleased to announce our initial release of our hosted SFSQL offering. A major concern from the HN Beta feedback we received was our longevity. Being a hosted database solution I can see why. We took that to heart and re-engineered our offering. We de-risked it by minimizing the amount of infrastructure under our management, fly.io manages customer's dedicated SFSQL endpoints,…
2023 · schemafreesql.com
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