Alternatives
Products that do what JSONQuery Pro does
Run SQL directly on JSON — instantly
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I'm working on a tool that will probably involve querying JSON documents and I'm asking myself how to expose that functionality to my users. I like the power of `jq` and the fact that LLMs are proficient at it, but I find it right out impossible to come up with the right `jq` incantations myself. Has anyone here been in a similar situation? Which tool / language did you end up exposing to your users?
Oct 2025 · jsonquerylang.org
- 3TQ
2025 · textquery.app
- 4JF
After two years of improvement, I think it's time to share it with you all. Here’s a quick overview: - Common features include validation, formatting, minification, and more. - Visualize JSON in a graph or table view. - Structured comparison with fallback to text comparison. - Navigate though JSON using JSON pointer. - Supports jq. Would love to hear the community's questions, thoughts and comments!
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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2020 · github.com
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2024 · github.com
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2024 · github.com
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2017 · jsonbrowse.com
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- 14GL
Hi HN. I've gotten pretty tired of needing to learn a custom programming language for a tool I use once a week or less. So I figured, it might be easier to pick up if `jq` used a programming language I already know. Voila, gq.
2022 · github.com
- 15JF
2019 · github.com
- 16GE
Hi HN, My name is JR and I had a need for a simple analytics solution that allowed me to store (timestamp, json) logs and run SQL over them. It was hard to find the right solution. Solutions like Mixpanel and Amplitude optimized for particular report types. Whereas solutions like Snowflake, BigQuery, etc. required a lot of setup. I built GraphJSON to fit in the middle. I strived for the ease of use of tools like Mixpanel and Amplitude, but wanted to ensure affordances were built to support use cases that big data warehouses enable. Under the hood, GraphJSON is powered by ClickHouse. This…
2022 · graphjson.com
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2015 · github.com
- 18QJ
2020 · github.com
- 19RS
2021 · github.com
- 20AI
2021 · sandbox.bio
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2025 · zenquery.app
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2017 · fiatjaf.alhur.es
- 24DT
Hi all, I built this tool when I needed a simple LocalStorage-esque database for a client project, and figured others might want something similar. Basically turns your JSON into a query-able, hosted database in seconds. You can read/update/delete JSON files by path, just like you would in Javascript. So, something like get(”users[7].address”) And while we’re at it, I also built a simple file storage service where you upload a file and it gives you the URL back. A lot of my (and other devs friends') side projects will never require more data than a JSON file can handle. Yet we…
2023 · daba.so
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