Enterprise-Grade ETL Platform

Transform Raw Data Into
Production-Ready Pipelines

Upload, profile, validate, and transform your data with PySpark, Great Expectations, dbt, and AI‑powered analysis — all from one unified platform.

Start Building Pipelines → ▷ See How It Works
www.dataforge.com / pipeline-studio
Input Rows
24,847
Quality Score
96.4%
Transforms
6 / 6
Extract Profile Quality Transform dbt Load Airflow
PySpark
Great Expectations
🔧
dbt Core
🌀
Apache Airflow
🐼
Pandas
🤖
AI Analysis
🐍
Python
⚗️
Flask
PySpark
Great Expectations
🔧
dbt Core
🌀
Apache Airflow
🐼
Pandas
🤖
AI Analysis
🐍
Python
⚗️
Flask
Platform Capabilities
Everything You Need for
Modern Data Engineering
From ingestion to delivery, DataForge covers the complete data lifecycle with enterprise-grade tools and AI-powered intelligence.
📤
ETL Pipeline Studio
Drag-and-drop pipeline builder with configurable transform steps. Upload CSV, JSON, XLSX, Parquet and watch your data flow through extraction, profiling, quality checks, and transformation in real-time.
uploadtransformpipeline
🤖
AI Column Analysis
Powered by Claude AI, automatically analyze columns to detect PII, infer semantic types, suggest transformations, and generate human-readable summaries of your datasets.
AIPII detectionsemantic
Data Quality Engine
Integrated Great Expectations for automated data quality validation. Run expectation suites, get quality scores, and track pass/fail rates across columns with beautiful reports.
great expectationsvalidation
🔧
dbt Model Generation
Auto-generate production-ready dbt models and schema YAML from your transformed data. Copy SQL directly or export full dbt project structure.
dbtSQLmodels
Scheduled Pipelines
Automate recurring ETL runs with flexible scheduling — hourly, daily, weekly, or monthly. Get notified via email or Slack when pipelines complete.
schedulernotificationsautomation
💬
Natural Language Queries
Ask questions about your data in plain English. The AI translates your questions into Pandas code, executes them, and returns results with explanations.
NL queriesAIanalytics
Three Steps to Clean Data
From raw file to production-ready dataset in minutes, not hours.
01
Upload & Ingest
Drop your file — CSV, JSON, XLSX, or Parquet. DataForge instantly profiles columns, detects types, and surfaces missing values.
Pandas PySpark
02
Validate & Transform
Run Great Expectations quality checks, apply configurable transforms, and let AI flag PII and suggest improvements.
GE dbt AI
03
Deliver & Schedule
Export clean CSV or Parquet, generate dbt models, trigger Airflow DAGs, and schedule recurring pipeline runs.
Airflow dbt Export
0+
Transform Steps
0
Pipeline Templates
0
Integrated Tools
0%
Open Source
Built on Best-in-Class Tools
DataForge integrates industry-standard data engineering tools into one cohesive platform.
Ingestion
📁 File Upload
PySpark
🐼 Pandas
Processing
Great Expectations
🔧 dbt Core
🤖 AI Analysis
🔬 Profiler
Orchestration
🌀 Apache Airflow
Scheduler
📧 Notifications
Output
📊 CSV Export
📦 Parquet
🔧 dbt Models
📋 Reports

Ready to Transform Your Data?

Start building production-ready ETL pipelines in minutes.
No credit card required. Open source and free to use.