History[05]

In May 2013, Louis Chatriot began developing a lightweight embeddable and in memory database system that used a subset of the MongoDB API. It was completed in 2017 and now is on GitHub where individuals can contribute to the project by fixing several bugs but no additional features are being implemented currently. However, several separate teams have forked copies of the original NeDB database and began implementing their own ideas and additional features that weren't originally intended by the original creator.

Checkpoints

Concurrency Control[06]

NeDB is written completely in Javascript and since Javascript is inherently single-threaded, there is no concurrency in the system. Additionally, each process receives its own copy of the database, which means it can't sync the views that two different processes have of the data.

Data Model[01]

NeDB is a document-based database system because it is built upon MongoDB.

Foreign Keys

Indexes[07][08][09]

NeDB supports indexing and helps provide a sufficient speed boost. It allows for indexing of any field, including those in nested documents. An index can be created at any point, even after data has been inserted. However, it is most efficient if done when the application is started because the index is created synchronously. The time to create an index is quite fast so it doesn't impact startup time too much. Additionally, indexes allow for the database to perform fast reads and writes.

Isolation Levels

NeDB does not support any isolation levels because no concurrency is guaranteed by the system.

Joins[10][11]

Although MongoDB does support joins, NeDB does not because the only similarites between NeDB and MongoDB are the syntax for queries used in the API. Additionally, NeDB does not support joins because it is not a relational database but rather a document store database.

Logging[03]

NeDB does not support logging because all data is stored in memory. However, a NeDB logger has been created that can be used to insert documents into a NeDB-readable database.

Query Execution[12]

All query requests will be exceeds in the order that they came in. If the executor is ready, then the task will be queued, but if the executor is idle the task will be processed immediately. All tasks are executed sequentially.

Query Interface[13]

The JavaScript API is a subset of MongoDB. The syntax for the query commands are the same as MongoDB, which allows for easy mitigation to MongoDB once the amount of data becomes too large for NeDB.

Storage Architecture[14]

NeDB stores all databases in memory in order to perform fast find and query operations. Storing all the data in memory causes NeDB to only perform well on smaller datasets.

Storage Organization

Stored Procedures

System Architecture