What is MongoDB?
MongoDB is an open-source document database and is a leading NoSQL Database. It has a document-oriented storage and is object-oriented. It is developed in C++ and hence, it provides flexibility with object-oriented concepts. It is not complex and is very easy to use. Therefore, it has a complete index support.
It provides high availability and auto-sharding. Auto-sharding is a partition of data in a database or search engine. MongoDB provides MapReduce VPI’s. There is a tool called Gird FS which is used to store huge amount of data comprising different structure. Support is a very crucial factor without which working with any database would be difficult. Hence, there is always support from the experts.
Features of MongoDB
MongoDB is known for being easy to use. The speed at which it functions is quite high and flexible. The other key features are auto-sharding, built in replication, rich secondary indexes and Hadoop integration.
MongoDB High level Architecture
There is an online data and offline data where online data can be managed with MongoDB or RDBMS and with offline data Hadoop or EDW could be used. You may have some applications like Analytical tools, BI apps, Mobile apps or CRM. Infrastructure includes having OS and virtualization, storage, network etc. There is management and monitoring tools as well along with security and auditing.
MongoDB enterprise is the subscription that costs around $7,500 a year. MongoDB enterprise is the commercial edition of MongoDB that provides enterprise-grade capabilities. It includes advanced security features, management tools, soft integration and certifications. These value-added capabilities are not included in the open-source edition of MongoDB.
MongoDB is widely used by many companies for several purposes namely for customer data management, data hub, big data, content management, and mobile and social infrastructure.
MongoDB is used in various domains, namely;
Government – Surveillance data aggregation, crime data management and analytics, citizen management platform and program data management.
Financial Services – Risk analytics and reporting, reference data management, market data management, portfolio management, order capture and time series data.
Media and Entertainment – Content management and delivery, user data management, digital asset management, mobile and social apps and content archiving.
Tele-communications – Consumer cloud, product catalog, customer service improvement, machine to machine platform and real-time network analysis.
Retail – Rich product catalogs, customer data management, new services, digital coupons, real-time price optimization.
Health care – Electronic health care records, mobile apps for doctors and nurses, lab data management and analytics, 360 degree patient view.
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