Noms [EOL] vs SQLite comparison

Noms is a decentralized database philosophically descendant from the Git version control system.

Like Git, Noms is:

Versioned: By default, all previous versions of the database are retained. You can trivially track how the database evolved to its current state, easily and efficiently compare any two versions, or even rewind and branch from any previous version.

Synchronizable: Instances of a single Noms database can be disconnected from each other for any amount of time, then later reconcile their changes efficiently and correctly.

Unlike Git, Noms is a database, so it also:

Primarily stores structured data, not files and directories (see: the Noms type system)

Scales well to large amounts of data and concurrent clients (TODO: benchmarks)

Supports atomic transactions (a single instance of Noms is CP, but Noms is typically run in production backed by S3, in which case it is "effectively CA")

Supports efficient indexes (see: Noms prolly-trees)

Features a flexible query model (see: GraphQL)

Finally, because Noms is content-addressed, it yields a very pleasant programming model.

Working with Noms is declarative. You don't INSERT new data, UPDATE existing data, or DELETE old data. You simply declare what the data ought to be right now. If you commit the same data twice, it will be deduplicated because of content-addressing. If you commit almost the same data, only the part that is different will be written.

SQLite is an open-source, serverless, reliable, and flexible, SQL database engine. It is particularly favored in the realm of embedded database solutions and small to medium-sized projects. Unlike traditional database systems that operate on a client-server model, SQLite is a serverless database engine, meaning it runs directly within the application it powers. This unique architecture makes SQLite an ideal choice for applications where simplicity, efficiency, and minimal configuration are paramount.

SQLite is an embedded database engine, which means it operates directly within the application that uses it, without requiring a separate server process. It is designed to be cross-platform, supporting multiple operating systems, and is is compatible with a wide range of programming languages, such as C, C++, Python, Java, and more. This makes it highly portable and suitable for a wide range of applications, from mobile devices to desktop software and web applications.

The key advantages of SQLite is its reliability, the lightweight nature and efficient performance. It has a small footprint, typically requiring only a few megabytes of disk space, and can operate entirely in memory if needed. It is designed to be reliable and robust, with built-in features such as atomic commit and rollback, which ensure data integrity even in the event of system crashes or power failures. Finally, the SQLite solution requires no configuration or setup, making it easy to use and deploy. It can be embedded directly into applications without the need for complex installation or configuration procedures.

SQLite Functionality

• SQL Compliance: SQLite supports a substantial portion of the SQL standard, including features like transactions, triggers, views, and indexes.
• File-based Storage: SQLite stores its entire database as a single cross-platform file on the host machine's file system.
• ACID Compliance: SQLite fully supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, ensuring data consistency and integrity in concurrent access scenarios.

SQLite is an open-source project distributed under a public domain license, which means it can be used, modified, and distributed freely, without any licensing costs or restrictions.

To summarize, SQLite is widely used in various applications, including web browsers (e.g., Mozilla Firefox, Google Chrome), mobile applications (e.g., Android, iOS), embedded systems, and desktop software. Its simplicity, portability, and efficiency make it a popular choice for developers who require a lightweight and reliable database solution, especially in resource-constrained environments or applications with modest data storage needs.