AI Engineer World's Fair 2026

Raman Singh

Tech Lead at Symend

With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance.

Sean Carver

Director of Data

The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.

Amy Zhao

Sr. Manager of Data Engr.

What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github.

Mondor La Grange

Head of BI and Data Engr.

Unlike Fivetran's credit-based system that created budget uncertainty, Airbyte's pricing model allows Kuda to forecast expenses accurately and avoid surprise bills.

Franziska Ibscher

PM at Drivepoint

With Airbyte, our AI features have fresh, reliable data to work with. Whether we're running automated financial models or powering AI agents that answer questions about a brand's business, none of it works without trustworthy data flowing in, and that's what Airbyte gives us.

Andres Bravo Gorgonio

Director of Machine Learning & Data

With the quick and easy Airbyte setup process and with a few answers from the Airbyte community in Slack, Intellum was able to launch the new platform quickly and efficiently within two weeks. Airbyte worked out-of-the-box, and there was no long setup protocol like other tools.