MongoDB Development Company

Generally, when we design a schema of a database, we don’t know in advance about the queries we will perform. Ad-hoc queries are the queries not known while structuring the database. So, MongoDB provides ad-hoc query support which makes it so special in this case. Ad-hoc queries are updated in real time, leading to an improvement in performance.

In MongoDB, one collection holds different documents. It has no schema so can have many fields, content, and size different than another document in the same collection. This is why MongoDB shows flexibility in dealing with the databases.

MongoDB is a document-oriented database, which is a great feature itself. In the relational databases, there are tables and rows for arrangements of the data. Every row has specific no. of columns & those can store a specific type of data. Here comes the flexibility of NoSQL where there are fields instead of tables and rows. There are different documents which can store different types of data. There are collections of similar documents. Each document has a unique key id or object id which can both be user or system defined.

The major and very common problem with a growing web application is scaling. To overcome this, MongoDB has come up with Sharding feature. It is one of the greatest key features of MongoDB. Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations.

Indexing is very important for improving the performances of search queries. When we continuously perform searches in a document, we should index those fields that match our search criteria. In MongoDB, we can index any field indexed with primary and secondary indices. Making query searches faster, MongoDB indexing enhances the performance.