Extract. Transform. Load. From Any Source to Any Destination.
Pull data from 20+ sources—databases, cloud storage, APIs, even email attachments filtered by sender, subject, and date. Process documents with AI: OCR for PDFs, scans, and images. Transform with SQL, Python, or plain English, then load anywhere: warehouses, files, or vector databases for RAG.
How a Breeze Pipeline Works
Two kinds of data, two pipelines—built the same visual way. Sync tables between systems, or turn documents into AI-ready knowledge.
Tables & rows — database-to-warehouse sync
Extract Tables
Pull rows from PostgreSQL, MySQL, SaaS APIs, or CSV/Parquet files in cloud storage.
Transform
Reshape with SQL or Python—or describe it in plain English and AI writes the code.
Validate
Quality rules: not-null, unique, ranges, regex. Bad rows never reach production.
Load
Replace, append, upsert, or CDC into Snowflake, BigQuery, or any database.
Example: sync your PostgreSQL orders into Snowflake every hour—cleaned, deduplicated, and validated.
Files & documents — PDFs to AI-ready vectors
Ingest Files
Collect PDFs and images from S3, Drive, SFTP, or Gmail attachments by sender and subject.
OCR & AI Analysis
Extract text from scans, analyze image contents, and generate structured metadata.
Classify & Route
AI labels each document—invoice, contract, report—and routes it down the right branch.
Embed & Load
Chunk and embed into Pinecone for RAG, or load extracted fields into your warehouse.
Example: turn invoice PDFs from Gmail into searchable vectors plus structured rows—automatically.
See Breeze ETL in Action
Every part of your pipeline workflow, built for speed and clarity.
Visual Pipeline Builder
Drag-and-drop interface powered by ReactFlow—visualize your entire data journey from source to destination.
- Drag-and-drop interface
- Real-time validation
- Branching logic support
- Visual debugging
Everything You Need for ETL and ELT Data Pipelines
From visual design to real-time monitoring, Breeze ETL provides complete pipeline management
Binary AI & RAG Prep
Turn unstructured files into structured intelligence. Extract data from PDFs, analyze image contents, and prepare document metadata for Vector DB indexing.
Use case: Automate e-commerce catalogs—extract images from S3, use AI to generate SEO tags and descriptions, load directly to Shopify or MySQL.
RAG-Ready Pipelines
The shortest path to RAG. Automatically clean, chunk, and tag your data with AI metadata so it's ready for Pinecone, Weaviate, or any LLM knowledge base.
AI Query Generator
Turn plain English into production-ready SQL and Python. Schema-aware logic that builds your complex joins and aggregations in seconds.
Visual Pipeline Editor
Drag-and-drop interface powered by ReactFlow. Create complex ETL workflows with real-time execution monitoring.
20+ Data Connectors
PostgreSQL, Snowflake, BigQuery, MongoDB, S3, Google Drive, Google Ads & GA4, and Gmail attachments filtered by sender, subject, and date. Built-in connection testing and health monitoring.
Real-Time Monitoring
WebSocket-powered live updates. Track pipeline execution, node status, and performance metrics in real-time.
Advanced Scheduling
Cron and interval scheduling with dependency triggers. Multi-timezone support and backfill capabilities.
Multi-Tenant Architecture
Organization isolation with role-based access control. Project management and enterprise security features.
High-Performance Processing
DuckDB SQL engine and Polars Python processing. Optimized for speed with parallel processing capabilities.
On-Premise & Self-Hosted
Deploy Breeze entirely on your own infrastructure—Windows or Linux. Your data and credentials never leave your servers, with one-command install scripts for a fast setup.
Connect to Any Data Source
Seamlessly integrate with your existing data infrastructure
More connectors are coming soon
Enterprise-Grade Security
Built with security-first principles so your data stays protected at every layer.
Auth & Access Control
Secure token auth, token rotation, RBAC, and 12+ character password policy.
Encryption End-to-End
AES-128 at-rest, TLS 1.2+ in-transit, S3 server-side encryption, zero plaintext storage.
Attack Prevention
SQL injection, XSS, CSRF, SSRF, path traversal protection and HSTS headers.
Video Guides
Step-by-step walkthroughs to get you from zero to running pipelines fast.