DuckDB

DuckDB is primarily designed as an in-process database and lacks native support for distributed query processing, which can be a limitation for large-scale data analysis tasks.

While DuckDB excels with medium-sized analytical workloads, performance may suffer when dealing with extremely large datasets that exceed available memory, as it is optimized for in-memory processing.

DuckDB has a growing ecosystem but still lacks the extensive set of connectors and integrations found in more mature database systems like PostgreSQL or Apache Spark, which can limit its utility in complex data pipelines.

The documentation for DuckDB is improving but still lacks the depth and breadth found in more mature database systems. This can make it harder to find detailed information on advanced features or troubleshooting specific issues.