DataFlowMapper is a no-code data transformation tool that bridges the gap between expensive enterprise ETL solutions and basic spreadsheet manipulation. It empowers implementation teams and data migration specialists to easily clean, reshape, and integrate data from various sources without writing code.
The Problem We're Solving: Data migration and transformation is a constant headache for implementation teams. Current solutions are either:
Enterprise ETL tools: Expensive, clunky, and overly complex
Basic data cleaners (FlatFile, OneSchema): Good for simple mapping but fail with business logic and aren't repeatable. You have to clean and format reactively each time
Manual Excel/Python scripts: Time-consuming, error-prone, and not reusable
Who is it for?
Implementation and data migration teams
Companies handling client data in CSV/Excel/JSON format
Businesses with dedicated onboarding functions
Mid-sized companies that can't justify enterprise ETL costs
Consultants, specialists, and analysts working with data conversion from legacy systems
Key Features
Visual Data Mapping: Drag-and-drop interface for connecting source fields to destination fields
Custom Logic Builder: Build complex transformations visually without coding
- Variables, If/Then logic, built-in Functions
- Real-time Python code generation and preview
- Progress checklist for tracking logic creation
AI-Powered Assistance:
- Suggest Mappings: AI analyzes your fields and suggests logical connections
- Map All: Describe your requirements in plain English and AI creates the entire mapping
- Logic Assist: Describe transformations in plain language and AI builds the logic
Flexible Format Support: CSV (any delimiter), Excel, JSON with nested structure support
Reusable Transformations: Save and reuse mapping files for repeatable processes. Just upload the file you want transformed, upload your mapping file, and click transform.
DataFlowMapperNate added DataFlowMapper as alternative to csvbox.io, Flatirons Fuse and OneSchema
