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Alternatives

Products that do what AstralRefine does

Clean data effortlessly

  1. 1
    Castodia231

    Connect Google Sheets to databases

    2020

  2. 2

    Write SQL and run analytics in Google Sheets

    2017

  3. 3
    HelloGuru234

    Airtable meets Tableau

    2022

  4. 4
    ClaySQL141

    Run SQL queries directly in Google Sheets

    2021

  5. 5
    Stein406

    Use Google Sheets as your no-setup database

    2019

  6. 6TO

    Features Spreadsheet-like interface All you want is here • Cell Editing: Directly click and edit content within cells. • Formula Support: Input mathematical and logical formulas to auto-calculate values. • Data Sorting and Filtering: Sort data based on a column or multiple columns; use filters to view specific rows of data. • Aggregation Function: Automatically summarize statistics for each column, providing instant calculations like sum, average, count, max, and min for streamlined data analysis. • Data Formatting: formatting numbers, dates, etc. • Grouping: Organize rows into collapsible…

    2024 · github.com

  7. 7QG
  8. 8

    AI formulas generator and shortcuts for Google Sheets

    Jan 2026

  9. 9

    Fastest way: csv/xls to dashboard report, no ChatGPT upload

    2023

  10. 10
    Outerbase298

    The interface for your database

    2023

  11. 11

    Import CSV to PostgreSQL, generate a mock API, and 20+ more

    2021

  12. 12

    Managed PostgreSQL DB + Spreadsheet-like data editor

    2023

  13. 13BP

    Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…

    2024 · github.com

  14. 14
    TABLUM.IO159

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

    2023

  15. 15PA

    2024 · github.com

  16. 16

    Map, clean and validate messy data on Google Sheets

    2024

  17. 17

    Use Google Sheets as a no-code database for chatbots

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  18. 18
    Chartbrew159

    One dashboard to view, create and share your data

    2020

  19. 19DL

    2014 · databaselabs.io

  20. 20
    Anyquery110

    Query anything with SQL (e.g. Notion, GitHub, JSON)

    2024

  21. 21

    The all-in-one data-processing tool for Google Sheets

    2021

  22. 22AT

    A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…

    2022

  23. 23PC
  24. 24SD

    Hey HN! Charles here from Prequel (https://prequel.co). We just launched the ability to sync data from your own app/db/data warehouse to any of your customer’s Google Sheets, CSV, or Excel – and I wanted to share a bit more about how we built the Google Sheets integration. If you’re curious, see here for a quick GIF demo of our Google Sheets destination: https://storage.googleapis.com/hn_asset/Prequel_GoogleSheets.... Quick background on us: we make it easy to integrate with and sync data to data warehouses. Problem is, there are plenty of folks who…

    2023

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