Mongo Performance: Benchmarking Scripts for 1M and 50M Records

This repository by harazdovskiy (2022) provides scripts for generating and managing MongoDB datasets ranging from 1 million to over 50 million records. It is designed for performance benchmarking and stress testing within Node.js environments.

Use Cases

• Benchmarking MongoDB query execution time on 50 million+ records
• Stress testing Node.js application database connections
• Measuring disk I/O and memory usage during large-scale document insertion

Strengths

• Scalable record generation up to 50 million+ entries
• Tailored for Node.js MongoDB driver testing
• Includes distinct small (1m) and medium (50m+) dataset tiers

Limitations

• Undefined schema and field types for the generated records
• Synthetic nature limits utility for realistic data modeling
• No specified license for redistribution or commercial use

Provenance

Source

harazdovskiy via GitHub

Collection Method

Synthetic generation via Node.js scripts

Freshness

Last updated October 2022.