The Data Virtualization Evolution is Just Beginning

Data virtualization, a technology that serves data consumers directly on top of data stores without moving data, is evolving to address the challenges of enterprise performance, federated governance, and unpredictable cost structures. Initially designed for flexibility and quick time-to-market, data virtualization has struggled with performance consistency and complex data operations, often leading enterprises to rely on isolated data silos for speedy queries. Trino, an advanced query engine, optimizes data virtualization by offering high performance without data duplication, using in-memory pipelined distributed execution and a cost-based optimizer to enhance query efficiency. As data management trends shift towards decentralized data management and data mesh architectures, data virtualization is becoming an essential component of modern data lakehouses, providing agility, ease-of-use, and enhanced performance for a broad range of use cases without relying on traditional data warehousing.