Case Study: Hayden AI reduces replication lag and cuts data costs with Estuary

How Hayden AI Powers Data Movement with Estuary

Hayden AI, a smart city and transportation technology company, required a solution to its slow and unreliable data replication from PostgreSQL. Using Airbyte initially, they faced a 24-hour lag, an inability to handle complex data types, and a lack of schema evolution support, which hindered their real-time analytics. They turned to vendor Estuary for a better data movement solution.

Estuary implemented a change data capture (CDC) solution that extracted real-time logs from PostgreSQL and materialized data into AWS Redshift. This reduced data replication lag by 95%, from 24 hours down to just one hour. Hayden AI also achieved 60% monthly cost savings and successfully backfilled 5TB of historical data, greatly enhancing their analytics pipeline.

Hayden AI

Ruslan Kesheshian

Data Platform Engineer