Why MongoDB is known as best NoSQL database?

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MongoDb is the best NoSQL database because, it is:

Document Oriented

Rich Query language

High Performance

Highly Available

Easily Scalable

MongoDB is often considered a popular and versatile NoSQL database for several reasons:

  1. Schema Flexibility:
    • MongoDB is a schema-less database, allowing you to store and retrieve data without a predefined structure. This flexibility is particularly advantageous when dealing with evolving or dynamic data models.
  2. JSON-like Documents:
    • Data in MongoDB is stored in BSON (Binary JSON) format, which is a JSON-like representation of documents. This makes it easy to work with data and integrate with various programming languages.
  3. Scalability:
    • MongoDB provides horizontal scalability through sharding, allowing the distribution of data across multiple servers. This ensures efficient handling of large amounts of data and high levels of traffic.
  4. High Performance:
    • MongoDB can deliver high performance for read and write operations due to its support for indexing and a variety of storage engines. It is designed to handle large amounts of data and provide fast access to it.
  5. Query Language:
    • MongoDB uses a rich query language that supports a wide range of queries, including field, range, and regular expression searches. This makes it powerful for various use cases and allows developers to express complex queries.
  6. Aggregation Framework:
    • MongoDB includes a flexible aggregation framework that enables the processing and transformation of data within the database. This is useful for complex analytics and reporting tasks.
  7. Document-Oriented:
    • MongoDB stores data in a document-oriented format, using BSON documents. This model is more natural for developers as it closely resembles the data structures used in programming languages.
  8. Open Source and Community Support:
    • MongoDB is open source, and it has a large and active community. This means ongoing development, regular updates, and a wealth of resources and support from the community.
  9. Adoption in Industry:
    • MongoDB is widely adopted across various industries, and many organizations use it for large-scale applications. Its popularity has led to a robust ecosystem of tools and integrations.

It’s important to note that while MongoDB has many strengths, the choice of a database depends on the specific requirements of the project. Different NoSQL databases may be more suitable for certain use cases based on factors such as consistency, availability, partition tolerance (CAP theorem), and specific data modeling needs.