What is the use of MongoDB in website?

MongoDB is general-purpose The database can be used for several web applications, including customer data management, content management, data hubs, mobile apps, Internet of Things, Big Data, product and asset catalogs and database-as-a-service.

For what kind of applications MongoDB is most suitable?

MongoDB is the most commonly used database in the development industry as a Document database. In document databases, the basic concept of table and row in compare with SQL database has been changed. Here row has been replaced by the term document which is much more flexible and model-based data structure.

Is MongoDB used for big data?

MongoDB is a document database that provides high performance, high availability, and easy scalability. Because of its features, MongoDB is The database for Big Data processing.

What are the functions of MongoDB?

MongoDB provides a document oriented storage that can easily scale to terabytes of data. It also provides Map Reduce functionality that can be used for aggregation of data using SQL-like functions through batch processing.

What programming language does MongoDB support?

MongoDB currently provides official driver support for all popular programming languages like C, C++, C#, Java, Node. js, Perl, PHP, Python, Ruby, Scala, Go and Erlang.

Why is MongoDB popular?

MongoDB is popular among new developers due to it’s flexibility and ease of usage. Even though it’s easy to use it still provides all the capabilities needed to meet the complex requirements of modern applications. A lot of developers like Mongo because it stores all of it’s documents in JSON.

Is MongoDB better than Hadoop?

When compared to Hadoop, MongoDB’s greatest strength is that it is a more robust solution, capable of far more flexibility than Hadoop, including potential replacement of existing RDBMS. Additionally, MongoDB also is inherently better at handling real-time data analytics.

What is aggregate MongoDB?

In MongoDB, aggregation operations process the data records/documents and return computed results. It collects values from various documents and groups them together and then performs different types of operations on that grouped data like sum, average, minimum, maximum, etc to return a computed result.

What is mapReduce MongoDB?

Map-reduce is a data processing paradigm for condensing large volumes of data into useful aggregated results. To perform map-reduce operations, MongoDB provides the mapReduce database command. mapReduce can return the results of a map-reduce operation as a document, or may write the results to collections.

What are the disadvantages of MongoDB?

Disadvantages of MongoDB MongoDB uses high memory for data storage. There is a limit for document size, i.e. 16mb. There is no transaction support in MongoDB.

What is MongoDB and why to use it?

MongoDB stores data in flexible,JSON-like documents,meaning fields can vary from document to document and data structure can be changed over time

The document model maps to the objects in your application code,making data easy to work with

Ad hoc queries,indexing,and real time aggregation provide powerful ways to access and analyze your data

Why should I use MongoDB?

MongoDB is easier to shard (use in a cluster) because it doesn’t have to worry about transactions and consistency. MongoDB has a faster write speed because it does not have to worry about transactions or rollbacks (and thus does not have to worry about locking).

What is MongoDB good for?

MongoDB is typically used as the primary data store for operational applications with real-time requirements (i.e., low-latency, high availability). MongoDB is generally a good fit for 60\%-80\% of the applications you may be building today.