What is difference between MongoDB and NoSQL?

What is difference between MongoDB and NoSQL?

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

How does key-value based NoSQL databases differ from document-based NoSQL databases?

Document databases organize documents into groups called collections, which are analogous to the tables in relational databases. By contrast, key-value databases store all key-value pairs together in a single namespace, which is analogous to a relational schema.

What are the differences between NoSQL and RDBMS?

RDBMS is scalable vertically and NoSQL is scalable horizontally. NoSQL databases are open source and cheap when compared with RDBMS. Servers in NoSQL can be used to manage and transact data with relatively no cost at all. RDBMS has a fixed schema so that data has to be inserted in a proper format.

What is the main difference between key-value stores and document stores?

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The difference lies in the way the data is processed; in a key-value store, the data is considered to be inherently opaque to the database, whereas a document-oriented system relies on internal structure in the document in order to extract metadata that the database engine uses for further optimization.

What is the difference between SQL and NoSQL database?

SQL databases are relational, NoSQL databases are non-relational. SQL databases use structured query language and have a predefined schema. NoSQL databases have dynamic schemas for unstructured data. SQL databases are vertically scalable, while NoSQL databases are horizontally scalable.

What is difference between NoSQL and SQL?

SQL databases are vertically scalable, while NoSQL databases are horizontally scalable. SQL databases are table-based, while NoSQL databases are document, key-value, graph, or wide-column stores. SQL databases are better for multi-row transactions, while NoSQL is better for unstructured data like documents or JSON.