Table of Contents
What kind of databases are MongoDB and CouchDB?
MongoDB and CouchDB both are the types of document-based NoSQL databases. A document database is also called mdocument store, and they are usually used to store the document format of the semi-structured data and detailed description of it.
How is MongoDB different from other databases?
MongoDB is almost 100 times faster than traditional database system like RDBMS, which is slower in comparison with the NoSQL databases. MongoDB supports deep query-ability i.e we can perform dynamic queries on documents using the document-based query language that’s nearly as powerful as SQL.
What is the difference between CouchDB and MongoDB?
CouchDB accepts queries via a RESTful HTTP API, while MongoDB uses its own query language. CouchDB prioritizes availability, while MongoDB prioritizes consistency. MongoDB has a much larger user base than CouchDB, making it easier to find support and hire employees for this database solution.
Is CouchDB document based?
Apache CouchDB is an open-source document-oriented NoSQL database, implemented in Erlang. Unlike a relational database, a CouchDB database does not store data and relationships in tables. Instead, each database is a collection of independent documents. Each document maintains its own data and self-contained schema.
Why is MongoDB called a document oriented database compare and contrast with Rdbms?
BSON is a document storage format. MongoDB stores data in form of documents and do not use SQL to query databases. RDBMS is a relational database management system and works on relational database. MongoDB is a non-relational, document oriented database management system and works on document based database.
Why MongoDB is called document oriented database?
Why Use MongoDB? Document-oriented – Since MongoDB is a NoSQL type database, instead of having data in a relational type format, it stores the data in documents. This makes MongoDB very flexible and adaptable to real business world situation and requirements.
Why MongoDB can scale very efficiently compared to MySQL db?
MongoDB is faster than MySQL due to its ability to handle large amounts of unstructured data when it comes to speed. It uses slave replication, master replication to process vast amounts of unstructured data and offers the freedom to use multiple data types that are better than the rigidity of MySQL.
What is the difference between SQL database and MongoDB?
SQL databases are used to store structured data while NoSQL databases like MongoDB are used to save unstructured data. MongoDB is used to save unstructured data in JSON format. MongoDB does not support advanced analytics and joins like SQL databases support.