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 lightweight database systems integrated into applications, offering efficient data management without the need for a standalone server. They provide seamless access to data and support high-performance operations. These databases are typically utilized in applications where resource efficiency and response time are critical. They are designed for easy integration and can run on limited hardware resources. Popular for mobile apps, IoT devices, and embedded...
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.