Amazon Aurora vs. PostgreSQL: 35% Faster Ingest, Up to 16x Faster Queries, and 78% Cheaper Storage

Amazon Aurora and PostgreSQL are both popular cloud database options, but they have different strengths and weaknesses. Aurora is marketed as being faster than RDS and highly scalable, while Timescale extends PostgreSQL for new workloads such as time series with TimescaleDB. In a benchmark comparison, Timescale was found to be 35% faster in ingesting data, between 1.15x and 16x faster in query performance, and 95% more efficient at storing data compared to Aurora Serverless v2 I/O-Optimized. Additionally, Timescale is 52% cheaper per hour for compute and 78% cheaper per month to store the data created. While Aurora does replace PostgreSQL's storage backend with newer technology, Timescale outperforms it in large workloads across all dimensions.