Growth · alternatives · 2026

24 alternatives to DataDistillr
Query, analyze and join any data without ETL
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. DataDistillr launched in 2022; newer entries below may have overtaken it.
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DataSquirrel.ai▲268Fastest way: csv/xls to dashboard report, no ChatGPT upload
2023 · datasquirrel.ai · its alternatives →
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DataSquirrel.ai▲288Data analytics and BI for non-tech managers
2024 · datasquirrel.ai · its alternatives →
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OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
2019 · github.com · its alternatives →
- 5DD
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
2022 · its alternatives →
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MotherDuck▲340Now GA: the ducking simple analytics data warehouse
2024 · motherduck.com · its alternatives →
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datajoi▲104## Show HN: Datajoi – AI-SQL Client in Your Browser Data users deserve better. [Datajoi](https://www.datajoi.com/), an AI-powered data platform designed to streamline data engineering, analytics, and governance.([datajoi.com][1]) ### What is Datajoi? Datajoi is a browser-based AI-SQL client that enables users to interact with their data using natural language, eliminating the need to write SQL queries or build traditional dashboards. Our platform leverages AI agents to automate complex data tasks, allowing for rapid insights and decision-making.([LinkedIn][2], [Hugging…
2025 · datajoi.com · its alternatives →
- 9DA
I built DataRamen, a local-first SQL explorer that helps you get the data you need fast, without writing repetitive queries every time. You run it locally from the CLI (no cloud version yet), connect your databases, and you're ready to go. The goal is to let you explore and query data like you would in a spreadsheet: intuitive, fast, and without friction. Key features: - Automatic joins & related data navigation: Right-click any row to instantly see related records in other tables (based on foreign keys or references). - Keyboard-driven UI: Hit N to jump to a table, F to filter, and so on,…
2025 · dataramen.xyz · its alternatives →
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App to easily query, script, and visualize data from every database, file, and API. - multiprocessio/datastation
2022 · github.com · its alternatives →
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Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem. Datastripes is a no-code platform for creating dashboards and data visualizations in minutes: no SQL, no setup, no friction. What it does: Connects to CSVs, Google Sheets, or APIs Drag-and-drop dashboard builder Shareable via public links or embed Fully browser-based We’re…
Jan 2026 · datastripes.com · its alternatives →
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Datastripes▲27In-browser-native data engine with 300+ drag & drop nodes
2025 · app.datastripes.com · its alternatives →
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Datangle (Beta)▲160No-code CI/CD workflow builder for your data
2024 · datangle.io · its alternatives →
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DataGrail▲90Simplify data privacy compliance for the GDPR, CCPA, & more
2018 · datagrail.io · its alternatives →
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Open source 1st-party data collection and storage, for free
2022 · aesirx.io · its alternatives →
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Instadeq▲72No-code data analysis & interactive visualizations
2022 · instadeq.com · 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 →