Mongo Db & It’s Advantages

“Software eventually and necessarily gained the same respect as any other discipline.” - Margaret H. Hamilton

What is a Database?

Think of data as a pile of papers: useful information, impossible to query. A database is the filing system that makes it searchable. You organize records into tables, rows, and columns, index them for speed, and let a single program gate all user access.

The main job of a database is to store, retrieve, and manage large amounts of information. Many dynamic websites rely on databases. A hotel room availability checker, for instance, is a dynamic website backed by a database. Common options include MySQL, Sybase, Oracle, MongoDB, Informix, PostgreSQL, SQL Server, and others.

What is MongoDB?

MongoDB is an open-source document-oriented database. Records in a MongoDB database are called documents, and the field values may include numbers, strings, Booleans, arrays, or even nested documents. MongoDB is used for high-volume data storage, helping organizations store large amounts of data while still performing rapidly. Organizations also use MongoDB for its ad-hoc queries, indexing, load balancing, aggregation, server-side JavaScript execution and other features. Under the hood it stores documents in BSON, a binary form of JSON, so each record can carry its own structure without a fixed schema getting in the way.

It is categorized under the NoSQL (Not only SQL) database because the storage and retrieval of data in the MongoDB are not in the form of tables. Instead, as a NoSQL database, the MongoDB architecture is made up of collections and documents. Documents are made up of key-value pairs, MongoDB's basic unit of data. Collections, the equivalent of SQL tables, contain document sets.

Advantages of MongoDB

1. MongoDB stores data as JSON-based documents without enforcing a schema. This lets you store hierarchical data in a single document, which makes reads and writes straightforward. MongoDB also ships with built-in tools for database management.

2. MongoDB supports search by regex and by individual fields. It can run as a Windows service and comes with solid documentation.

3. Because it's document-based, MongoDB scales up or down to match demand. It lets you split data across multiple servers and supports indexing, aggregation, file storage, and more.

4. MongoDB handles large data volumes quickly and provides drivers for C#, Java, Python, Node.js, and other languages, so you can connect it from almost any application stack.

5. For availability, MongoDB uses replica sets: copies of your data kept on several servers, with automatic failover if the primary node goes down. Paired with sharding, that lets a deployment grow well past what a single machine can handle.

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