Alternatives
Products that do what Stratum – SQL that branches and beats DuckDB on 35/46 1T benchmarks does
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Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)
2024 · github.com
- 3DU
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
- 4VSVisual SQL▲512
2020 · chartio.com
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I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…
2022 · benchmark.clickhouse.com
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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
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Last year we launched ChartDB OSS (https://news.ycombinator.com/item?id=44972238) - an open-source tool that generates ER diagrams from your database (via query/sql/dbml) without needing direct DB access. Now we’re launching the ChartDB Agent. It helps you design databases from scratch or make schema changes with natural language. You can: - Generate schemas by simply describing them in plain English - Brainstorm new tables, columns, and relationships with AI - Iterate visually in a diagram (ERD) - Deterministically export SQL script Try it out here -…
Oct 2025 · app.chartdb.io
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hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site
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2022 · memgraph.com
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Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…
Jan 2026 · playground.shaped.ai
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- 18SPSQL Polyglot▲53
Try running a query anywhere from PostgreSQL to DuckDB without leaving your browser.
2023 · codapi.org
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Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…
2024 · hashquery.dev
- 21DR
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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2021 · github.com
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2025 · textquery.app
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