Is MongoDB NoSQL

Is MongoDB NoSQL?

Yes, MongoDB is a NoSQL Database. MongoDB is an open-source NoSQL database. MongoDB is a document-based database. MongoDB is one of the leading NoSQL databases. NoSQL database is a type of non-relational database, and it is capable of processing structured, semi-structured and unstructured data.

What is MongoDB?

MongoDB is an open-source database management system (DBMS) that uses a document-oriented database model. MongoDB is written in C++. MongoDB supports various forms of data. MongoDB stores data in flat files using their own binary storage objects. This means that data storage is very compact and efficient, perfect for high data volumes. MongoDB stores data in JSON-like documents, which makes the database very flexible and scalable.

MongoDB is a document-oriented database model. Each MongoDB database contains collections and which in turn contains documents. Each document can be different and depends on the varying number of fields. The model of each document will be different in size and content from each other. The data model features allow you to store arrays and complex structured in a hierarchical relationship.

What is NoSQL?

NoSQL is a new breed of database management systems that fundamentally differ from relational database systems. NoSQL database is a highly scalable and flexible database management system. NoSQL database allows the user to store and process unstructured data and semi-structured data; this feature is not possible in RDBMS tools. NoSQL is an approach to database design that can accommodate a wide variety of data models, including key-value, document, columnar and graph formats. NoSQL systems don’t generally provide the same level of data consistency as SQL databases. In fact, while SQL databases have traditionally sacrificed scalability and performance for the ACID properties. NoSQL databases guarantee high speed and scalability performance. NoSQL systems have the architecture in such a way to operate at high speed and wider flexibility towards the developer side.

Can MongoDB replace NoSQL?

As we had limitations with Relational Databases for storing and processing the large volume of social media and web data. NoSQL database was a rescue for Big Data. NoSQL database allowed the programme1r to execute the database with ease and efficiency. NoSQL database is of four types. NoSQL is capable of handling far more data in terms of both volume and complexity. NoSQL databases are either schema-free or have relaxed schemas. For batch processing, MongoDB provides aggregation feature to process your data efficiently. We use Map Reduce model for aggregation operations.

A MapReduce is a programming model composed of two procedures: Map() and Reduce().Map() procedure performs filtering and sorting while Reduce() procedure performs a summary operation. MongoDB can run over multiple servers. The data is duplicated to keep the system up and keep its running condition in hardware failure. MongoDB is a schema-less database. In MongoDB architecture – there are different documents in one collection. The collection is schema-less to have different content, fields, and size comparing another document in the same collection. The features of NoSQL aligns with the offering of MongoDB. So, NoSQL cannot replace MongoDB or MongoDB cannot replace NoSQL.

Characteristics of MongoDB

Below are the characteristics of MongoDB:

• MongoDB is Schema-Less: MongoDB is a schema-less database which flexible than traditional database tables. It is written in language C++. It has no schema to have many fields, content, and size different from another document in the same collection.
• High Performance: MongoDB is an open-source database with high performance. MongoDB is a high availability and scalability database. It supports faster query response because of features like indexing and replication.
• MongoDB Indexing: Indexing is very important for improving the performances of search queries. MongoDB uses indexing of dataset to enhance query performances and searches. MongoDB indexing enhances the performance for the faster search query. Document in a MongoDB can be used for indexing using primary and secondary indices.
• File storage: MongoDB can be used as a file system with load balancing and data replication features over multiple machines for storing files.
• Replication: The feature of replication is to distribute data to multiple nodes. It can have primary nodes and secondary nodes to replicate data. Replication of data is done using master-slave architecture. MongoDB provides a replication feature by distributing data across multiple machines.
• Sharding: This process distributes data across multiple physical partitions called shards, due to sharding MongoDB automatic process load balancing. We use sharding in cases where we need to work on very larger datasets.

Characteristics of NoSQL

Below are the characteristics of NoSQL:

• Multi-Model: This feature of NoSQL databases makes them extremely flexible when it comes to handling data.
• Easily Scalable: This feature of NoSQL databases easy scales to adapt to huge volumes and complexity of cloud applications. This scalability also improves performance, allowing for continuous availability and very high read/write speeds.
• Flexible: This feature of NoSQL databases allows you to process all varieties of data. It can process structured, semi-structured and unstructured data. It works on many processors—NoSQL systems allow you to store your database on multiple processors and maintain high-speed performance.
• Less Downtime: The elastic nature of NoSQL allows for the workload to automatically be spread across any number of servers.

Difference Between MongoDB and NoSQL

• A MongoDB “database” is the top-level container, consists of one or more collections while NoSQL data stores provide a top-level namespace or container for storing data.
• MongoDB is based on the document store data model in which a document is stored as BSON format. BSON format is a binary JSON format. NoSQL is an open-source, document database that provides high performance and scalability and data modelling and data management of huge data sets in an enterprise application.
• MongoDB supports advanced features for searching any field or range of queries or regular expression while NoSQL databases are more flexible in data storage and processing.
• MongoDB uses the features of sharding to scale horizontally. Simultaneously, NoSQL systems allow you to drag-and-drop your data into a folder and then query it without creating an entity-relational model.

Conclusion

There are many organizations like Adobe, LinkedIn, MacAfee; SAP uses MongoDB as a database. For photo submission, the New York Times uses MongoDB NoSQL, and this application is deployed for form-building. MongoDB offers some advanced and powerful features which offer to parse all semi-structured and unstructured data. MongoDB NoSQL is available in the community and commercial versions through vendor MongoDB Inc.

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