I needed to store data from another project ([Braindead CI](https://github.com/louischatriot/braindead-ci)). I needed the datastore to be standalone (i.e. no dependency except other Node modules) so that people can install the software using a simple `npm install`. I couldn't find one without bugs and a clean API so I made this one.
It is pretty fast on the kind of datasets it was designed for (10,000 documents or less). On my machine (3 years old, no SSD), with a collection with 10,000 documents:
Read, update and deletion times are pretty much non impacted by the number of concerned documents. Inserts, updates and deletions are non-blocking. Read will be soon, too (but they are so fast it is not so important anyway).
You can run the simple benchmarks I use by executing the scripts in the `benchmarks` folder. They all take an optional parameter which is the size of the dataset to use (default is 10,000).
For now, a copy of the whole database is kept in memory. For the kind of datasets expected this should not be too much (max 20MB) but I am planning on stopping using that method to free RAM and make it completely asynchronous.
