Explaining NoSQL Databases
Posted By Kiran Bisht | 02-Jan-2015
NoSQL has a wide range of various database technologies that were created in response to enhancement of the volume of data stored about objects, users, as well as products. Relational databases were not developed to deal with the scale and agility challenges that deal with modern apps, nor were they designed to take advantage of the processing power available and cheap storage.
Types of NoSQL Database Types
Document databases - They match every key with a complicated data structure known as a document. Documents can have various key-value pairs, nested documents, or key-array pairs.
Graph Stores - They are used to store appropriate information about networks like social connections. Graph stores incorporates Neo4J and HyperGraphDB.
Key-value stores - They are the most uncomplicated NoSQL databases. Each item in this database is stored as an attribute name, along with its value. For Example: Key-value stores like Riak and Voldemort.
Wide-column stores - The wide-column stores like Cassandra and HBase are optimized for queries extra large datasets, and store columns of data together, in place of rows.
Checkout the Benefits of NoSQL
NoSQL databases are more scalable and provide excellent performance when compare to relational databases, and their data model resolves plenty of issues that the relational model isn’t developed to deal with:
Large amount of unstructured data, semi-structured data, and structured data.
Agile sprints, fast iteration, and continuous code pushes
Object-oriented programming that’s flexible and absolutely easy to use
Systematic, scale-out architecture in place of expensive, and rigid architecture
Object-oriented programming that is easy to use and flexible
Relational databases need schemas to be defined before adding data. This goes well with agile development approaches, because every time you complete new feature, the schema of the database needs to change.
If the database is large, this becomes a slow process that includes significant downtime. There is no way using a relational database, to effectively address data that is absolutely unstructured or not known in advance.
NoSQL databases are developed to enable the insertion of data without a predefined schema. This makes it easy to make significant app modifications in real-time, without worrying about service interruptions that means development is faster, code integration is reliable, and less database admin time is needed.
Implementing a NoSQL Database in an Organization
Organizations often start with small-scale trial of a NoSQL database, which makes it feasible to understand the technology in a low-stake way. Most of the NoSQL databases are also open-source, which means they can be downloaded, executed and scaled at low cost. Organizations can also get invantive and deliver excellent customer experience at lower cost, because development cycles are faster.
Choosing a right database for your application and aims is an important task. MongoDB consulting can help provide guidance organizations need in the initial stage of evaluation. MongoDB service providers can help you achieve success faster with lower cost.