DataMapper
SaaSYour data, mapped automatically
DataMapper processes diverse file formats, intelligently maps source columns to your target schema, applies transformations and validation rules, and delivers clean data to your application.
The Vision
Data imports should no longer be a manual, error-prone process. DataMapper automates the mapping, validation, and transformation of data from any source into your target format. Configure once, run automatically.
The Problem
Companies receive data from partners, suppliers, and customers in all kinds of formats. Manually mapping data in Excel sheets, cleaning up errors, and converting between formats is time-consuming and error-prone.
DataMapper handles the entire process: upload, schema detection, intelligent mapping, validation with 35+ rules, and transformation in one automated workflow.
Features
File Processing
- 10+ formats: CSV, Excel, JSON, YAML, XML, Parquet, ODS
- Up to 1 million rows per file
- Bidirectional format conversion
Mapping & Detection
- Intelligent matching of source to target columns
- Automatic type detection (email, date, phone, currency)
- Schema recognition for previously mapped sources
Validation
- 35+ built-in validation rules
- Pattern, range, email, IBAN, UUID and more
- Custom validation via JavaScript/TypeScript
Transformations
- 12+ built-in transformations (trim, case, replace, split...)
- Custom transformers via code
- Chainable transformations per column
Custom Functions
- Visual drag-and-drop editor or TypeScript/JavaScript
- Secure sandbox with no filesystem/network access
- Four function types: column/row validator & transformer
Destinations
- Webhook, API, MySQL, PostgreSQL
- S3-compatible (AWS, MinIO, Cloudflare R2)
- Kafka, RabbitMQ, SFTP, email, download
Tech Stack
Sounds interesting?
Let's talk about your project. In a free initial consultation we'll figure out if and how we can help you.