Case Study: Curri cuts data sync costs by 50% and achieves real-time analytics with Estuary

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Preview of the Curri Case Study

How Curri Cut Data Sync Costs by 50% and Achieved Real-Time Analytics with Estuary

Curri, a logistics platform known as the "Uber for construction supplies," faced unpredictable costs and slow, batch-based data syncs from tools like Fivetran. Their data infrastructure could not keep up with the needs of their finance and analytics teams, creating delays and scaling poorly with their growth. They needed a real-time solution to sync over 16 data sources efficiently.

Estuary provided a real-time data integration solution with its streaming pipelines. The implementation connected all of Curri's sources, including a large PostgreSQL database and Stripe, to Snowflake. This resulted in a 50% reduction in data integration costs and transformed Stripe payment data syncs from a 12-hour delay to instantaneous updates, enabling critical real-time invoicing and analytics.


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