What is MongoDB?
Introduction
MongoDB is the leading NoSQL database, providing high performance, high availability and automatic scaling. It's designed for speed and agility to help businesses achieve maximum value from their data. MongoDB stores data in flexible JSON-like documents that can vary in structure, making it a natural fit with many modern applications that use JSON for communication among components.
And MongoDB doesn't require months of planning to implement. It can be up and running in five minutes with a single mongod process on your laptop. The mongo shell, an interactive JavaScript environment, lets you immediately start building applications without any formal or syntax hoops to jump through. This makes it ideal for prototyping new application ideas. And since mongo is written in C++ and offers a familiar SQL-like interface, there's no need for teams who work with non-JavaScript programming languages like Java and C# to learn yet another language to use mongo.
What is mongo
MongoDB is an open-source, document database. One mongod instance can support any number of mongos, mongod and mongo shells. MongoDB stores data in flexible JSON-like documents that can vary in structure. These documents are not tables of relational data with rigid schemas, but rather dynamic collections of JSON objects mixed with high-level types.
This document has many benefits for all mongo users. It's flexible and scalable, making it easy for businesses to adapt to changes without any downtime or loss of data. The built-in replication means that mongo will continue to operate even if one or more machines fail, mongo is very fast with incremental indexing so it only indexes the documents that have changed since the last mongo run, mongo has no single point of failure and mongo supports high availability so your mongo application will continue to operate even if one or more mongos go down.
Mongo uses JSON-like documents to store data
A mongo document can be anything from a single field to an object with many fields, or the JSON representation of the mongo database. Documents are collections of mongo-style documents with different mongo types, like BSON (Binary JSON), TSV (Tab delimited text) and CSV (Comma delimited text). MongoDB stores data in flexible JSON-like documents that can vary in structure.
These mongo documents are not tables of relational mongo data with rigid schemas, mongo documents are collections of mongo-style mongo documents with different mongo types. For example, you could store the following in the "children" mongo document:
{ name: 'Mary', age: 8, favorite_color: [ 'red', 'brown' ] }
MongoDB stores mongo documents in a mongo collection. This mongo collection can be a mongo string, a mongo number, an array of mongo objects, or a mongo document. These mongo collections have no rigid schema and can vary from one document to the next. A mongo collection can have mongo-style mongo documents, mongo data that varies from one mongo document to the next.
Mongo is easy to set up
The mongo server is super simple to set up, and can be done in just a few minutes. To run mongo on your own computer, you will need the following basic requirements:
A mongod binary (which can be downloaded from mongodb.org) The mongod software package (can be installed using your favorite package manager - Homebrew on OSX for example) A directory where mongo should store its data files. This must be readable by the mongod process, or else it will not start. You can find these files at mongodb://localhost:27017 - mongo stores everything in a mongodb directory there. Mongo is a document database, Mongo cannot be a relational database. mongo does not use tables and rows, but instead contains different collections of documents.
A mongo collection can hold any type of data, so one mongo collection could contain all the
Mongo has a C++ base language, making it accessible for teams who work with non-JavaScript programming languages like Java and C#
MongoDB has a C++ base language, making it accessible for teams who work with non-JavaScript programming languages like Java and C#. As mongo is a document database, mongo cannot be a relational database. mongo does not use tables and rows, but instead contains different collections of documents. MongoDB offers a variety of products and tools that allow you to get the most out of mongo.
The mongodb URI format is mongodb://localhost:27017, where mongodb is the service name and 27017 refers to the port number. You can write against mongo using JavaScript or other languages such as java, python, etc., so it doesn't matter if they're mongo-specific languages or not. mongo's storage engine architecture means that mongo can scale up to handle very large datasets whilst still being able to perform at the speed of traditional databases that have a much more limited dataset size. mongo has a variety of tools and utilities allowing you to store, query, update, delete and manage data stored in mongodb. mongo offers a variety of products and tools that allow you to get the most out of mongo.
Conclusion
Mongo is a document database that provides flexible and scalable solutions for your company or organization. mongodb offers a variety of products and tools to help you get the most out of mongo. mongo uses JSON-like documents to store data, making it easy to set up with just three steps. NoSQL databases are quickly becoming popular because they offer scalability without sacrificing speed like traditional relational databases tend to do when datasets grow larger than what can be handled by SQL queries. Explore some more information about mongo's functionality here!
Mongo is easy to set up, mongodb offers a variety of products and tools that allow you to get the most out of mongo, mongo's storage engine architecture means that mongo can scale up to handle very large datasets whilst still being able to perform at the speed of traditional databases. mongodb provides flexible and scalable solutions for your company or organization. mongo data is stored in JSON-like documents, mongodb's document database allows flexibility and scalability with no compromise on speed. mongo uses a C++ base language, mongo does not use tables and rows but instead contains different collections of documents. mongo comes with powerful servers that are scalable, mongo's storage engine architecture means that mongo can scale up to handle very large datasets whilst still being able to perform at the speed of traditional databases.