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AI · alternatives · 2026

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24 alternatives to Describe SQL using natural language, and execute against real data

I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it. https://app.tabbydata.com/sql-assistant-demo

This tool lets users query public BigQuery datasets by describing what they want in plain English, which the system converts to SQL. Users can then review and edit the generated SQL before running it against real data.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Describe SQL using natural language, and execute against real data launched in 2021; newer entries below may have overtaken it.

  1. 1

    Would love thoughts! Here is the HF page: https://huggingface.co/chatdb/natural-sql-7b

    2024 · github.com · its alternatives →

  2. 2

    sql, data, analytics, database, query, syntax, translation

    2023 · askai.free · its alternatives →

  3. 3

    Convert natural language to sql queries

    2023 · its alternatives →

  4. 4

    Turn everyday language into SQL queries

    2025 · its alternatives →

  5. 5

    Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent…

    2024 · github.com · its alternatives →

  6. 6

    Turn plain language into powerful database queries

    2025 · text2query.com · its alternatives →

  7. 7NL

    Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box;…

    2024 · dataherald.com · its alternatives →

  8. 8

    Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…

    2023 · github.com · its alternatives →

  9. 9

    Converse with your data in natural language

    2023 · ai2sql.io · its alternatives →

  10. 10

    Embed NL-to-SQL into your product

    2024 · its alternatives →

  11. 11

    inferring sql queries from plain-text questions about tables - paulfitz/mlsql

    2019 · github.com · its alternatives →

  12. 12
    AskEdith▲289

    Never write SQL from scratch again

    2022 · its alternatives →

  13. 13

    Hi everyone — thanks for your interest in PRQL — let us know any questions or feedback! We're excited to be releasing 0.2[1], the first version of PRQL you can use in your own projects. It wouldn't exist without the feedback we got from HackerNews when we originally posted the proposal. [1]: https://github.com/prql/prql/releases/tag/0.2.0

    2022 · github.com · its alternatives →

  14. 14
    Zing▲119

    Query and visualize your data using OpenAI from your phone

    2022 · its alternatives →

  15. 15

    Instant SQL queries - Let AI do the work

    2023 · sqlease.buildnship.in · its alternatives →

  16. 16

    Write SQL queries in natural language

    2023 · its alternatives →

  17. 17
    GenQL▲10

    Generate SQL query from natural language

    2025 · genql.neetigya.me · its alternatives →

  18. 18AA
  19. 19
    SQLPilot▲149

    AI First SQL Editor

    2024 · its alternatives →

  20. 20

    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 →

  21. 21
    GA4 SQL▲80

    Generate GA4 BigQuery queries without SQL knowledge

    2023 · ga4sql.com · its alternatives →

  22. 22

    Hi folks, My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English. Vizly is built on Llama 2, llama.cpp, and runs fully on-prem (edit: meaning everything is local and your data never leaves your own computer). We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook. We tried to make Vizly very easy to share as well. Every Vizly instance…

    2023 · vizly.fyi · its alternatives →

  23. 23

    Turn plain English into SQL queries + charts in 3 seconds

    2025 · mertiql.ai · its alternatives →

  24. 24

    Generate SQL Queries with AI in Seconds

    2022 · aiquery.co · 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 →