nowfound

Alternatives

Products that do what Jaime does

Turn SQL into powerful dashboards

  1. 1

    Write SQL on CSV files (Desktop app)

    2021

  2. 2
    Beacon130

    Write, run and share SQL in Slack

    2020

  3. 3

    Collaborative data analytics tool across desktop & web

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  4. 4ST
  5. 5

    Learn SQL - the preferred tool of data analysts everywhere …

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  6. 6
    SQLify121

    Query all your apps using sql

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  7. 7
    Evidence192

    Interactive dashboards with extraordinary performance

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  8. 8

    In-browser SQL Workbench for data querying & visualization

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  9. 9
    TurboSQL120

    Blazing-fast, AI-powered SQL desktop app

    2025

  10. 10

    Powerful online SQL sandbox

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  11. 11

    Check if your SQL is readable or not

    2022

  12. 12
    TABLUM.IO159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023

  13. 13

    Use data without SQL

    2021

  14. 14
    Knack94

    The simple online database and web app builder

    2014

  15. 15

    Analyze CSV records using sql syntax right in your browser

    2022

  16. 16
    Dubo114

    AI powered SQL workstation with copilot and chat

    2024

  17. 17
    Cogram132

    Query databases in plain English

    2022

  18. 18UE

    Explain Code App works with SQL, a popular language for querying databases. You can tell Explain Code App what you want in plain language, and the app will generate the matching SQL code for you. https://www.explaincode.app

    2022

  19. 19

    Generate arduous database queries in a snap

    2023

  20. 20

    Turn everyday language into SQL queries

    2025

  21. 21AD

    Hey hackernews! I'd like to share a hobby and passion project I've been working on for almost a year now. It's an open-source storage engine (underlying component of a database(s)) similar to that of LevelDB/RocksDB but written entirely in C. The storage engine is called TidesDB. TidesDB is written entirely in C. It's designed as a fast, transactional key-value storage engine built on a log-structured merge-tree (LSM-tree) architecture. My journey with TidesDB began nearly 2 years ago whilst I was experimenting with various data structures and databases in Go. When I encountered the…

    2025 · github.com

  22. 22DD
  23. 23NL
  24. 24AS

    Hello everyone, While working on other projects, I found myself always having to connect and use SELECT * to see dummy entries or new users. I favored the CLI for monitoring my database entries, especially because I was testing and just adding dummy users + our first normal users in projects. So it became a bit tiring always having to connect to postgres, mysql and give select * queries from the CLI.

    2024 · github.com

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