Performance

Speed

NeDB is not intended to be a replacement of large-scale databases such as MongoDB, and as such was not designed for speed. That said, it is still pretty fast on the expected datasets, especially if you use indexing. On a typical, not-so-fast dev machine, for a collection containing 10,000 documents, with indexing:

• Insert: 10,680 ops/s
• Find: 43,290 ops/s
• Update: 8,000 ops/s
• Remove: 11,750 ops/s

You can run these simple benchmarks by executing the scripts in the benchmarks folder. Run them with the —help flag to see how they work.

Memory footprint

A copy of the whole database is kept in memory. This is not much on theexpected kind of datasets (20MB for 10,000 2KB documents).