MongoDB is a popular NoSQL database management system with its design primarily focused on merging vital features of relational databases with innovative NoSQL technologies. Currently, MongoDB is growing in popularity as this database management system is a document based, non relational database provider. Pace Wisdom database administrators utilize MongoDB as this database management system combines advanced database capabilities to address the demands of present day applications. Even though traditional databases incorporate a blueprint that exhibit tables and the relationship between them, MongoDB is unique as this system allows administrators to store JSON-like documents with dynamic schemas.
Utilize both cutting edge technology and data to help enterprises gain a competitive edge
Support mission-critical deployment
Quicken the ‘time-to-value’ aspect of Pace Wisdom deliverables
Considerably reduce the total cost of ownership (TCO) of the end product
MongoDB ensures that applications are built, managed and upgraded based on its flexible data model complemented by a dynamic schema and idiomatic drivers, that make this database management system assist database administrators to manage data without a specific structure or indexing functionalities.
MongoDB is highly scalable as a database management system that accommodates many data centers providing both availability and scalability to administrators and enterprises. The lack of downtime while scaling up to meet newer data requirements proves the flexibility associated with MongoDB.
MongoDB allows our developers to deliver applications that display real-time data in a reliable and secure manner.
MongoDB helps application development teams as well as operation teams to increase productivity with important features such as single click management and the ability of this database management system to run on commonly available hardware, which reduces costs on hardware procurement.
MongoDB is schema less. It is a document database in which one collection holds different documents.
There may be difference between number of fields, content and size of the document from one to other.
Structure of a single object is clear in MongoDB.
There are no complex joins in MongoDB.
MongoDB provides the facility of deep query because it supports a powerful dynamic query on documents.
It is very easy to scale.
It uses ‘in-memory’ for storing working sets and this is the reason of its fast access.
As explained on the official MongoDB website, database administrators are increasingly incorporating NoSQL databases into application development projects, owing to the ability of NoSQL databases to support the next generation of applications with critical traits such as:
NoSQL databases emerged to address the requirements for the data we see dominating modern applications. Whether document, graph, key-value, or wide-column, all of them offer a flexible data model, making it easy to store and combine data of any structure and allow dynamic modification of the schema without downtime or performance impact.
NoSQL databases were all built with a focus on scalability, so they all include some form of sharding or partitioning. This allows the database to scale out on commodity hardware deployed on-premises or in the cloud, enabling almost unlimited growth with higher throughput and lower latency than relational databases.
NoSQL databases are designed for highly available systems that provide a consistent, high quality experience for users all over the world. They are designed to run across many nodes, including replication to automatically synchronize data across servers, racks, and data centers.