Never write a custom script to load CSV files again
Get engineering back to real engineering work: let an analyst clean a CSV file to create a fully functioning data pipeline for spreadsheet data
Stop wasting engineering time building SFTP integrations for each customer
Reduce engineering cost for integrations by 10x
You know exactly how expensive your engineering team is. Writing python scripts to convert CSV data shouldn’t be in their job description.
Implement customers without being blocked by engineering
Waiting for engineers to build custom integrations is slow. Don’t block customer onboarding on backlogged engineering tickets.
Scale your data engineering team
Set yourself up to scale your customer base quickly - without having to compromise on onboarding experience.
Create a fully functioning data pipeline, just by cleaning a starter file
Step 1: Define your target data schema
Use OneSchema’s extensive validation library to define your data model.
Step 2: Non-technical team member cleans a starter file
Upload a sample file, and OneSchema will detect the issues in the data based on your validation rules. Clean the file, and OneSchema will generate transformation rules to clean future files.
Step 3: Ingest CSV files on a recurring basis
Send future files to OneSchema for automated validation & transformation into your data format. Transparent and traceable pipelines enable your team to audit the data and quickly identify issues.