Systems | Development | Analytics | API | Testing

The right ETL platform should match your data volume, technical resources, pipeline ownership model, and budget. With many platforms, costs become harder to predict as data volumes grow, while maintenance demands and slow support add further operational pressure. This video compares four of the best ETL tools in 2026: Integrate.io, Fivetran, Airbyte, and Matillion. We explore low-code ETL vs open-source flexibility, managed pipelines vs self-hosting, flat-fee vs usage-based pricing, built-in reverse ETL, AI-assisted pipeline creation, and which platform best fits different teams.

Relying strictly on public cloud AI APIs often leads to unpredictable token costs and data residency concerns. In this demo, Peter Ableda (Product Lead for Cloudera AI) demonstrates how the Cloudera AI Inference service enables enterprise-grade private AI behind your firewall—whether on-premises or in a Virtual Private Cloud (VPC). Learn how bringing AI directly to your data ensures total model control, cost predictability, and maximum data security.

In a world where knowledge, experience, and even intelligence are no longer barriers, what actually separates the people who thrive from everyone else? In this conversation, we get into the two traits that matter more — curiosity and agency, and why they're becoming the real differentiators in the age of AI. "Today it's Models Day. Tomorrow it may be something else." The tools keep changing; the will to figure things out doesn't.