MotherDuck

MotherDuck is a modern cloud data warehouse built on DuckDB, designed to make big data feel small and accessible for teams of all sizes. It offers a seamless blend of local and cloud analytics, enabling users to scale from ad-hoc analysis to terabyte-scale business intelligence and customer-facing analytics with ease.

MotherDuck stands out for its per-user tenancy model, where each user operates an isolated DuckDB instance—called a "Duckling"—available in five sizes (Pulse, Standard, Jumbo, Mega, Giga) to match diverse workload requirements. This architecture ensures optimal performance, vertical scaling, and flexible resource allocation, including read replicas for efficient BI tool integration.

• Scales vertically and horizontally to handle spikey workloads
• Reads a wide variety of data formats, including plaintext, JSON, Parquet, Iceberg, XLS, and CSV
• Fast, columnar central data storage optimized for analytics
• Runs locally or in the cloud, fitting seamlessly into existing workflows
• Supports pure SQL pipelines, collaborative data sharing, and rapid team collaboration
• Purpose-built for both internal BI and customer-facing analytics, delivering low-latency insights at scale
• Integrates with a broad ecosystem of data sources, BI tools, ingestion platforms, and data science environments

MotherDuck is ideal for software engineers, data scientists, and data engineers who need a powerful yet approachable analytics platform. Its intuitive interface, robust performance, and flexible deployment options make it a compelling choice for organizations seeking to modernize their data stack without the complexity of traditional OLAP solutions.