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AI · alternatives · 2026

24 alternatives to Query your database using plain English, fully on-premises

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…

Vizly is a Mac application that lets users query their databases using plain English instead of SQL. It runs entirely locally on the user's computer using Llama 2 models for translating natural language to SQL and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Query your database using plain English, fully on-premises launched in 2023; newer entries below may have overtaken it.

  1. 1

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

    2024 · recurse.chat · its alternatives →

  2. 2

    Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…

    Dec 2025 · exopriors.com · its alternatives →

  3. 3

    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 →

  4. 4
    Vizzly▲189

    Build dashboards your users can customize

    2023 · app.vizzly.co · its alternatives →

  5. 5

    Probly was built to reduce context-switching between spreadsheet applications, Python notebooks, and AI tools. It’s a simple spreadsheet that lets you talk to your data. Need pandas analysis? Just ask in plain English, and the code runs right in your browser. Want a chart? Just ask. While there are tools available in this space like TheBricks, Probly is a minimalist, open-source solution built with React, TypeScript, Next.js, Handsontable, Hyperformula, Apache Echarts, OpenAI, and Pyodide. It's still a work in progress, but it's already useful for my daily tasks.

    2025 · github.com · its alternatives →

  6. 6

    Turn plain language into powerful database queries

    2025 · text2query.com · its alternatives →

  7. 7

    Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events. - hasura/graphql-engine

    2018 · github.com · its alternatives →

  8. 8
    Zing▲119

    Query and visualize your data using OpenAI from your phone

    2022 · its alternatives →

  9. 9
    FluentDB▲275

    The AI database client for Mac

    Jul 2026 · fluentdb.ai · its alternatives →

  10. 10

    Generate SQL directly in your browser with help of AI

    2022 · chromewebstore.google.com · its alternatives →

  11. 11
    Ollama▲235

    The easiest way to run large language models locally

    2023 · github.com · its alternatives →

  12. 12
    AskEdith▲289

    Never write SQL from scratch again

    2022 · its alternatives →

  13. 13

    Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

    2023 · github.com · its alternatives →

  14. 14
    CamelAI▲194

    camelAI turns your database into an AI data analyst. Ask questions in plain English, get instant reports with visualizations - no SQL required. Why we built this: - Business teams waste hours waiting for data analysts to build dashboards - Non-technical founders can't get quick insights from their own data - Writing SQL queries is a barrier to data-driven decisions What makes it different: - Uses DuckDB to query terabytes in seconds (built-in, no setup needed) - Supports advanced analytics (cohort analysis, statistical computations) not just basic SQL - Multi-turn conversations: AI explores…

    2025 · camelai.com · its alternatives →

  15. 15
    Apollo AI▲280

    Run local models like Llama on iOS

    2025 · apps.apple.com · its alternatives →

  16. 16

    Ask questions about your data in plain english

    2023 · movinglake.com · its alternatives →

  17. 17
    Cogram▲132

    Query databases in plain English

    2022 · cogram.com · its alternatives →

  18. 18DS

    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

    2021 · its alternatives →

  19. 19
    Kiko▲76

    Analyze data via plain English

    2021 · kiko.retool.com · its alternatives →

  20. 20

    We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…

    2025 · github.com · its alternatives →

  21. 21
    lolaDB▲84

    Build data rich web apps without building an API

    2023 · its alternatives →

  22. 22
    Ava PLS▲94

    Desktop app for running LLMs locally

    2023 · avapls.com · its alternatives →

  23. 23

    Instant SQL queries - Let AI do the work

    2023 · sqlease.buildnship.in · its alternatives →

  24. 24MG

    Hello HN, I've been working on this project for a while, and it has been in an "open" beta for some time. I finally believe it's ready for its first release. I hope you like it. Here are some potential questions that may arise: 1. How does it compare to LM Studio? It's likely that if you're already using LM Studio, you'll continue to do so. This project is designed to be more user-friendly. 2. Is it open-source? No, it is not. 3. Does it use any open-source libraries? Yes, it uses llama.cpp and a few others, as indicated in the license information included with the application. 4. Why is not…

    2023 · avapls.com · its alternatives →

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