Launches · No-code & internal tool builders
Ternlux
A visual ETL platform with conversational AI for building data pipelines.
What is Ternlux?
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 is Ternlux for?
Data-driven teams, small businesses, and engineers looking to build ETL pipelines without manual SQL or pipeline engineering overhead.
What can you use Ternlux for?
- 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
Key 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
How much does Ternlux cost?
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.
Profile written from ternlux.com's own pages. For AI agents: Markdown.
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