Why an Open Data Infrastructure means reliability and low cost

Open Data Infrastructure offers a transformative solution to the limitations of traditional data architectures by integrating the cost-effectiveness and scalability of data lakes with the structure and reliability of data warehouses. This approach addresses the challenges companies face with increasing data and AI demands, particularly the inefficiencies and high costs associated with older architectures that separate analytical and operational data systems. By decoupling storage from compute and utilizing open table formats like Apache Iceberg and Delta Lake, Open Data Infrastructure enhances data usability, reliability, and governance while providing flexibility in choosing compute engines based on specific needs. This interoperability reduces vendor lock-in and supports diverse analytical and operational use cases, making the infrastructure not only cost-effective but also easier to operate and adapt. As companies increasingly rely on data for AI and automation, this architecture supports scalable, trustworthy, and real-time data operations, reducing engineering burdens and enabling innovation without compromising reliability or increasing costs.