A flexible, scalable, and highly functional database.
NoSQL overcomes the limitation of a conventional database that helps to grow big companies in less time. The prime motive of this non-relational DBMS is to achieve high operational speed and flexibility in storing the data. The form of storing relationship data is different in NoSQL in comparison to relational databases. We help our clients to scale by using NoSQL in our technology-stack as this advanced database is easily scalable on a horizontal scale, unlike relational databases. NoSQL is gaining massive recognition as it carries the potential of transcending your organization.
The difference lies in the method of storing and processing data in NoSQL and SQL databases. SQL stores data in the form of rows and columns, where rows consist of data entries and columns consist of secondary information about data. It was becoming hard to store unstructured data in this type of database whereas, NoSQL allowed developers to store data of all sizes and shapes as it is the most flexible database and eases the process of development while decreasing the cost. It includes the dynamic schema for a diverse variety of data like structured, semi-structured, and others for simplifying the processing of documents.
Every organization aims to grow its business by expanding into new territories and entering into new markets, and ultimately it results in an increasing amount of data. NoSQL is suitable for handling your business data while you are growing as it uses a horizontal scale to scale endlessly.
The horizontal scale is more effective when compared to the vertical as the former one includes adding more hardware for handling the data that simplifies the step of implementation. There are unlimited benefits our team can provide you for the effective scaling process of your business.
It stores data in the form of JSON, BSON, XML documents that contain pairs of fields and values. Documents are nested and indexed for fast-tracked querying. The ability of this database to store a variety of values like strings, arrays, numbers, and much more makes it flexible for multiple uses. It streamlines the process for our developers as it allows us to modify the documents according to the application.
It is the simplest form of database and easy to use as it doesn’t require complex queries for the retrieval of data. The data in the key-value database consist of two components keys and values. Every value is assigned to a specific key and is retrievable by reference to the same. It is useful for storing a large amount of data and eradicates the need for operating complex queries to recollect the data. Some of the regular use cases include user profiles, shopping carts, caching, etc.
The data is stored and organized in the column structure. It is beneficial for analyzing the information in a short time. Column stores ease the process of managing massive data in contrast to relational databases. It doesn’t occupy memory space with unnecessary data and accelerates the readability speed.
It helps in representing the relationship between elements as it stores data in the form of nodes and edges. Nodes consist of information about people and places, whereas the edges depict the connection between the nodes. It allows us to recognize the pattern by traversing the links or relationships. Hence, it is practically useful in fraud detection, knowledge graphs, recommendation engines, and much more.
Our team holds a brilliant record of delivering successful projects based on NoSQL. We prefer it as it eases the process of storing and retrieving the data for your corporation. Organizations prefer NoSQL due to its cost-friendly nature, and it is highly beneficial for companies running on a tight budget. Some of the big companies and other global tech-giants use NoSQL for the efficient management of their business data.