What is Document Database - MongoDB Tutorial




What is Document Database ?

  • It is a type of nonrelational DB that is designed to store and query data as JSON-like documents.
  • It becomes easier for developers to store and query data in a database while using the same document-model format they use in their application code.
  • In document databases the data stored documents with their metadata.
  • The key is the unique identifier of the document where the document stored is in key/value pair.
  • Document databases are quicker to load, access, and parse.
MongoDb

For Example

MongoDb

Mongodb Create Table Collection

MongoDb

Mongodb Insert Collection

MongoDb

Features of Document Databases

  • It provides fast queries, a structure well suited for handling big data.
  • Flexible indexing and a simplified method of maintaining the database.
  • It has been fully integrated by large-scale IT companies like Amazon and it is efficient for web apps.
  • It easy to query data with the same document-model used to code the application.

Advantages of Document Databases:

MongoDb

Schema-less

  • No restrictions in the format and structure of data storage.
  • It is good for retaining existing data at big volumes and different structural states, especially in a constantly transforming system.

Faster creation and care

  • Minimal maintenance is required once you create the document, which can be as simple as adding your complex object once.

No foreign keys

  • The absence of this relationship dynamic, documents can be independent of one another.

Open formats

  • A clean build process that uses XML, JSON and other derivatives to describe documents.

Built-in versioning

  • While documents grow in size they can also grow in complexity. It decreases conflicts.

Disadvantages of Document Databases

MongoDb

Consistency-Check Limitations

  • In database we use case example above, it would be possible to search for books from a non-existent author.
  • You should search the book collection and discover files that aren't linked to an author series.
  • These inconsistencies aren’t significant in a few contexts, however at upper-tier standards of RDB consistency audits, they seriously hamper database performance.

Atomicity Weakness

  • Relational systems also allow you to modify data from one place without the need for JOINs.
  • A change involving two collections will require you to run two separate queries (per collection) for document databases.
  • Breaks atomicity requirements.

Security

  • For Web application security owners of NoSQL databases, therefore, want to pay careful attention.
  • Nearly half of web applications today actively leak sensitive data.

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