Replication of data is done using master-slave architecture. It can have primary nodes and secondary nodes to replicate data.

Replication: The feature of replication is to distribute data to multiple nodes.File storage: MongoDB can be used as a file system with load balancing and data replication features over multiple machines for storing files.Document in a MongoDB can be used for indexing using primary and secondary indices. MongoDB indexing enhances the performance for the faster search query. MongoDB uses indexing of dataset to enhance query performances and searches. MongoDB Indexing:В Indexing is very important for improving the performances of search queries.It supports faster query response because of features like indexing and replication. MongoDB is a high availability and scalability database. High Performance:В MongoDB is an open-source database with high performance.It has no schema to have many fields, content, and size different from another document in the same collection. MongoDB is Schema-Less:В MongoDB is a schema-less database which flexible than traditional database tables.So, NoSQL cannot replace MongoDB or MongoDB cannot replace NoSQL.Д«elow are the characteristics of MongoDB: The features of NoSQL aligns with the offering of MongoDB. The collection is schema-less to have different content, fields, and size comparing another document in the same collection. In MongoDB architecture вЂ“ there are different documents in one collection. The data is duplicated to keep the system up and keep its running condition in hardware failure. We use Map Reduce model for aggregation operations.ДЄ 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. For batch processing, MongoDB provides aggregation feature to process your data efficiently. NoSQL databases are either schema-free or have relaxed schemas. NoSQL is capable of handling far more data in terms of both volume and complexity. NoSQL database allowed the programme1r to execute the database with ease and efficiency. NoSQL database was a rescue for Big Data. Can MongoDB replace NoSQL?ДЄs we had limitations with Relational Databases for storing and processing the large volume of social media and web data. NoSQL systems have the architecture in such a way to operate at high speed and wider flexibility towards the developer side. NoSQL databases guarantee high speed and scalability performance.

In fact, while SQL databases have traditionally sacrificed scalability and performance for the ACID properties. NoSQL systems donвЂ™t generally provide the same level of data consistency as SQL databases. 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 database allows the user to store and process unstructured data and semi-structured data this feature is not possible in RDBMS tools. NoSQL database is a highly scalable and flexible database management system. NoSQL is a new breed of database management systems that fundamentally differ from relational database systems. The data model features allow you to store arrays and complex structured in a hierarchical relationship. The model of each document will be different in size and content from each other. Each document can be different and depends on the varying number of fields. Each MongoDB database contains collections and which in turn contains documents. MongoDB is a document-oriented database model. Hadoop, Data Science, Statistics & others

Nosql manager for mongodb