Flexible, code-powered ETL pipelines that adapt to your business. Join our beta to shape the future of data engineering.
Watch how a complete ETL pipeline goes from concept to production deployment. No months-long implementations, no vendor negotiations—just ship working data pipelines fast.
Built for modern data teams who need reliable, fast, and secure ETL processes
Code in Go using an IDE editor experience. Get all the IntelliSense and syntax highlighting benefits.
Deploy runners across multiple machines to process massive datasets in parallel.
From gigabytes to terabytes, pricing never changes. Grow your pipelines, not your expenses.
Turn ETL ideas into production reality within a week. Start extracting business value from day one.
See how teams like yours solve real data challenges with ETLFunnel
AI features need data from SQL, NoSQL, and data lakes transformed into vector embeddings for semantic search and recommendations.
The Challenge: Manual vectorization and keeping vector databases synced with source systems is complex and doesn't scale.
ETL Solution: Automated pipelines extract, vectorize, and continuously sync data to vector databases—enabling AI features without custom infrastructure.
Product managers want dashboards that show feature adoption or user journeys. Raw event logs and SaaS exports need cleaning, joining, and enrichment.
The Challenge: Event data scattered across multiple systems, inconsistent formats, missing context for user sessions.
ETL Solution: Automated pipelines that clean, enrich, and join event streams in real-time, creating unified user journey analytics without months of manual data wrangling.
Campaign data lives in Google Ads, LinkedIn, HubSpot, and product analytics. Stitching it together manually is slow and error-prone.
The Challenge: Attribution models break when data is siloed, leading to incorrect spend allocation and missed optimization opportunities.
ETL Solution: Unified attribution pipelines that automatically merge cross-channel data, enabling real-time spend optimization and accurate ROAS calculations.
Growing companies with regional operations face fragmented data across separate databases due to compliance requirements.
The Challenge: Manual consolidation of global KPIs is complex, risky, and doesn't scale with business growth across regions.
ETL Solution: Compliant data pipelines that enable local processing with central rollup, maintaining data residency requirements while providing unified global analytics.
Fixed pricing regardless of data volume. Scale infinitely on your infrastructure.
Process gigabytes or terabytes - your price never changes. True on-premise deployment means you control costs and scale.