Case Study: Kuda achieves predictable pricing and faster data refresh with Airbyte

Kuda completes Airbyte migration in under 3 weeks for faster, predictable data refresh

Kuda, a Nigeria-based neobank, faced challenges with unpredictable costs and a 15-minute minimum data refresh rate using their previous data integration platform, Fivetran. This credit-based pricing model made financial planning difficult as the company scaled. Seeking more predictable pricing and faster data refresh capabilities to support near real-time analytics, Kuda turned to the vendor Airbyte for its data replication solution.

By implementing Airbyte, Kuda achieved predictable, transparent pricing and reduced its data refresh intervals to faster than 15 minutes. The migration was completed in under three weeks, including a full re-sync of billions of banking records. Airbyte provided a reliable and straightforward system for change data capture (CDC) replication from Microsoft SQL Server to Google BigQuery, enabling near real-time analytics and operational confidence for the rapidly growing neobank.

Kuda