Liquid Analytics specializes in distributed computing and dataset management, leveraging technologies such as DuckDB, Kubernetes, and Python to provide scalable and efficient solutions. Our focus is on creating a fluid and dynamic computing environment that supports a wide range of deployment scenarios, from cloud and edge computing to IoT devices.

The company utilizes DuckDB, an in-process SQL OLAP database designed for fast analytical queries on large datasets. DuckDB's columnar storage and vectorized query execution make it particularly suitable for embedded analytics within larger applications