# Ternlux

> A visual ETL platform with conversational AI for building data pipelines.

- Website: https://www.ternlux.com
- Category: No-code & internal tool builders
- Launched on RankRoot: 2026-10-22
- Visitors sent by RankRoot: 0
- Show HN discussion: https://news.ycombinator.com/item?id=50197685

## About

Ternlux is a visual ETL platform featuring conversational AI that lets users connect data sources, transform data using natural language, and load it to destinations. It features a drag-and-drop workflow builder that handles execution order, error recovery, and schema detection without pipeline engineering overhead.

## Who it's for

Data-driven teams, small businesses, and engineers looking to build ETL pipelines without manual SQL or pipeline engineering overhead.

## Use cases

- Building fraud detection and risk scoring pipelines for fintech
- Connecting clinical data sources for healthcare
- Automating shipment tracking and inventory for logistics
- Building data pipelines without SQL or engineers for small business
- Generating time-series data for event forecasting models

## Features

- Drag-and-drop node canvas for visual workflow building
- Real-time execution tracking with row counts and progress updates
- Automatic schema detection across SQL, NoSQL, and file sources
- Natural language to SQL conversion for filters, aggregations, and schema changes
- Automatic error recovery that explains failures and regenerates fixes
- Schema-aware context utilizing table structures and column types

## Pricing

Free

## FAQ

### What does Ternlux do?

Ternlux is a visual ETL platform with conversational AI that lets you connect sources, transform data using natural language, and load it to any destination.

### How does the conversational AI work in Ternlux?

You describe your data transformation in plain English, and the AI writes optimized SQL, handles type conversions, and recovers from errors automatically.

### What features are included in the workflow builder?

The workflow builder includes a drag-and-drop node canvas, real-time execution tracking, and automatic schema detection across SQL, NoSQL, and file sources.

### How does Ternlux handle pipeline errors?

Ternlux detects failures like missing columns or type mismatches, explains them in plain English, and automatically regenerates a fix.


Source: https://getrankroot.com/launches/ternlux. Product facts come from the maker or the product's own website.