Open Internet by MindsNet

Scalability of Row-Based Storage in Large Datasets

The author is experiencing performance issues with row-based storage in PostgreSQL when handling complex aggregations on large datasets (10M to 50M rows). The overhead of row-based storage leads to high memory usage and slow query speeds. This bottleneck prompts a reevaluation of the database stack for analytical workloads.

Computing & Technology, Computer Science, Databases