Double-click to edit this text

D

Estuary is building the next generation of real-time data integration solutions.

ABOUT US

We’re creating a new kind of DataOps platform that empowers engineering teams to build real-time, data-intensive applications at scale with minimal friction. This platform unifies a team’s databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.

Estuary develops in the open to produce both the runtime for our managed service and an ecosystem of open-source connectors. We’re passionate about providing data integration tools for users across a spectrum of use-cases, industries, and budgets.

© 2024 estuary.dev

TESTIMONIALS

What Our Clients Says...

"Estuary Flow allows us to integrate low-latency CDC and connect to SaaS apps across our entire reporting stack. It's the first solution we've found that does both."

— Estuary customer, advertising agency

"We needed a platform to help optimize marketing campaigns with low-latency. Estuary provided an unparalleled solution to do so at terabyte scale."

— Fenestra

Estuary supports dataflow speeds up to 7Gb/s.

How to Build a Data Pipeline
for Generative AI in Minutes

Webinar

By the end of this webinar, you'll know

How to integrate with ChatGPT and Langchain for training and model execution

How to feed different types of data into your data pipeline, and how to turn it into an interactive AI application

How to prepare your data for different destinations

On-demand webinar

Jonathan Wihl, Solution Engineering 

Where vector databases fit in, and how they work

Best practices for protecting your data

Rob Meyer, VP Marketing 

Figuring out how to use ChatGPT and other AI tools, let alone understanding them, may seem hard. Don’t let that get in the way of just getting something done. Automating AI is almost as simple as asking ChatGPT a question.

Join us as we show you how to build a data pipeline for AI from start to finish, live, and explain some of the data pipeline best practices for AI along the way.