Need of MongoDB

There are lots of reasons to use MongoDB in different applications. Some reasons are the following –

• Versatile Data Management: MongoDB handles both organized and unstructured data across diverse applications. It seamlessly integrates with other popular programming languages and adapts to different tech environments without much effort.

• Robust Query Support: With extensive query capabilities, MongoDB facilitates ad hoc queries. It enables operations such as range queries, field searches, and utilizes regex for precise phrase searches.

• Ideal for Large Data Handling: If your data needs to be stored in tables, MongoDB surpasses traditional RDBMS databases. Its inherent functionalities allow effortless division and distribution of databases, enabling efficient data management.

• Efficient Indexing: MongoDB’s indexing power significantly boosts performance. It allows indexing of any field within a document, elevating the speed and efficiency of search operations. This feature notably enhances the overall search performance of MongoDB databases.

• Supporting Dynamic Schema: In a table, if there are columns for name, address and if we need to enter a new column say “age” in one of the entries — it will not be possible as the column is not defined in the schema. But it can be achieved in MongoDB. Any new field can be inserted regardless of schema . This is known as Dynamic Schema.

MongoDB is a powerful database that’s great at handling lots of data and making sure it’s always available. It uses a flexible way of storing data called documents and collections. As a business grows – it can handle more and more data without slowing down. However, it’s worth noting that MongoDB is licensed under the Server Side Public License (SSPL), which some consider as not entirely free to use, but despite this, it’s widely adopted by companies worldwide across various industries. Its high performance, availability, and scalability make it available for many businesses looking for a robust database engine.