Exclusive: MotherDuck adds agentic data ingestion to its cloud analytics service
MotherDuck Corp., the maker of a cloud-native data warehouse based on the open-source DuckDB analytical engine, is betting that artificial intelligence agents will reshape how data pipelines are built and managed.
Today, it unveiled a new capability called Flights that enables users to create and operate data ingestion workflows through natural-language interactions with AI assistants. The new service extends MotherDuck’s cloud-based analytics platform by allowing AI agents such as ChatGPT, Claude and Gemini to create, schedule and manage data pipelines from within a Python runtime environment. The company said Flights enables organizations to move from raw data ingestion to analytics and visualization within a single AI-driven workflow.
“AI has come for the data world,” said Jordan Tigani, MotherDuck’s co-founder and chief executive. “There’s a big opportunity to take things that were traditionally manual tasks and use prompting and the English language instead of having to hand-code everything.”
DuckDB is an analytical database designed for fast processing of structured data without the complexity of managing a traditional database server. Sometimes described as “SQLite for analytics,” it is known for its speed at querying large datasets directly from files such as CSV, Parquet and JSON, making it popular for data science, machine learning and business intelligence workloads.
