Senior Analytics Engineer at a tech vendor with 501-1,000 employees
Real User
Top 5
May 12, 2026
My main use case for DuckDB is that we're using it as a cache for analytics. We have an embedded analytics product, and in order to manage our compute resources, we are using DuckDB so that we do not compute twice the same query.
We use the concept of a feature store. We need the engine, and we use Feast as our feature store framework to build our feature store. We use the DuckDB engine as a data engine, which helps us move data from the offline feature store to the online feature store. The online feature store is part of the feature store where we serve our features to the operational environment. We have some daily processes, for example, where we update features in operational environments every hour. For this update, we use DuckDB to load data from Parquet to Redis.
Embedded Database solutions are software components integrated directly within applications to manage data with low latency, high efficiency, and minimal footprint, often eliminating the need for a separate database server.Embedded Databases play a crucial role in applications requiring lightweight process operations where speed and resource usage are priorities. They offer real-time data processing capabilities and are commonly used in IoT devices, mobile apps, and edge computing platforms....
My main use case for DuckDB is that we're using it as a cache for analytics. We have an embedded analytics product, and in order to manage our compute resources, we are using DuckDB so that we do not compute twice the same query.
We use the concept of a feature store. We need the engine, and we use Feast as our feature store framework to build our feature store. We use the DuckDB engine as a data engine, which helps us move data from the offline feature store to the online feature store. The online feature store is part of the feature store where we serve our features to the operational environment. We have some daily processes, for example, where we update features in operational environments every hour. For this update, we use DuckDB to load data from Parquet to Redis.