Imagine if MongoDB could introduce itself, how would it proceed, maybe like this:
I am a NoSQL database and I don’t like the traditional table-based relational database. I am an open- sourced software and I am ok with almost all the platforms, you can say I am cross platform too. I was born in October 2007 and was parented by MongoDB Inc. I find JSON like documents attractive with their dynamic schema and fondly I call them BSON. I work for famous websites like Viacom, The New York Times, eBay, Craigslist, SourceForge and many other. Well I don’t like to brag but I am the back end software service provider too. ”
Probably MongoDB’s introduction would have sounded like the one above if ever it was to introduce itself. People know MongoDB as “an open source, document oriented, cross-platform database software”. Amazingly its not the above mentioned qualities that makes MongoDB a must-go-for-database-software, rather it is a combination of its other features namely agility, JSON and scalability.
Read on to know more about them.
MongoDB has inherent agile characteristics like replication, sharding, flexible schemas, rich query language and automation. Emergence of MongoDB is often ascribed to its agility.
Lets review each of these agile feature one by one.
- Replication: It is a process used for synchronizing data across multiple servers. Replication increases data availability and data redundancy. The process of redundancy provides same piece of data at two separate places, which helps to protect a database in case of loss of a single server. Replication helps to recover from service interruptions and hardware failures. In case of database fail the additional copies serve as backup.
- Sharding: It is a process of storing data across multiple machines. Sharding is used to assist the demands of large data sets. It helps to share the load of a single machine which may face issues with large data sets and high throughout applications. Sharding solves the data storage issue with horizontal scaling as the user gets more machines to help data growth and the demands of read and write operations.
- Flexible Schemas: Data in MongoDB has a flexible schema. The flexibility enables mapping of the documents to an object or an entity. Each document can match data field of the represented entity. Unlike SQL databases where one needs to declare and determine a table’s schema before insertion of data, MongoDB doesn’t require enforcement of document structure.
- Automation: MongoDB Management Service (MMS) lets one deploy, manage and configure MongoDB deployments with MMS UI. MMS Automation relies on an Automation Agent, which must be installed on every server in the deployment. The Automation Agents helps to continually enquire the MMS service to find the current goal, so as to report their status to MMS.
Most important of all is MongoDB’s potential to handle, manage and structure large amount of data. Largely, the success of MongoDB is due to its treatment of the data structures. That means the developers can develop any application without wasting much time on data structuring and its management.
MongoDB has achieved the top position as the only database paradigm, for operational data storage. The essence of programs and applications lies in the data structures and its management. Developers often intend to innovate ways to ease the data structures to model the application domain. MongoDB is what eases the whole department of data structure and data management.
If you are thinking about data storage and have come across MongoDB, Universe is giving you signs. Take the signs and follow the Lead.
Get started with MongoDB.
Remember all your questions are answered at right time.