MotherDuck CEO argues single-node DuckDB outperforms clusters

Jordan Tigani, CEO of MotherDuck, argues that single-node analytics can often outperform distributed systems because many enterprise workloads process only a fraction of their total data at once, while modern hardware offers hundreds of cores and terabytes of RAM. MotherDuck uses an architecture that pairs shared storage with isolated, hyper-tenant DuckDB compute instances to simplify workload management and resource scaling. Additionally, Tigani discusses DuckLake as a metadata-driven alternative to S3-based formats like Apache Iceberg, and advises applying the principle of least privilege when granting AI agents access to production data. Open article →