Case Study: Meru cuts data pipeline costs by 70% with Hevo Data

How Meru transformed data integration with Hevo

Meru, a company digitizing Latin America's automotive aftermarket parts supply, faced significant challenges with its fragmented data infrastructure. The business struggled with the high cost and lack of flexibility of its previous solution, Fivetran, which made scaling its data processes across sources like PostgreSQL, SQL Server, and various SaaS applications financially unsustainable and inefficient for its lean data team.

By implementing Hevo Data's ELT platform, Meru consolidated its disparate data sources into its Redshift data warehouse. The solution from Hevo provided extensive integrations, ease of management, and a predictable cost structure. This resulted in a 50-70% reduction in data pipeline costs, enabled real-time report generation, and freed up engineering resources. The measurable impact included a fourfold increase in the frequency of accessing critical insights and provided the foundation for advanced AI and machine learning projects.

MERU

Catalina Ramos

Head of Data