A flexible, scalable, and highly functional database.

Achieve high operational speed and flexibility in storing the data with advanced 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.

NoSQL VS SQL Database

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.

Some benefits that can provide you the effective scaling process of your business.

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 is highly reliable for the decision-making process as it allows you to retrieve and ascertain useful insights at any point in time. You never have to worry about losing data as it will replicate itself in its previous state in case of any failure. NoSQL distributes data equally by using multiple data centers that allow consistent availability. The distributed nature of NoSQL minimizes the probability of occurrence of risks and losses.


NoSQL is suitable for small businesses that are operating on a fixed budget. Our team has delivered dynamic and high-performing applications built on NoSQL at an affordable price. It is an open-source that makes it viable according to the changing environment and saves development time. They provide better security in comparison to conventional databases. Hence, you can get a high return at a low investment that will help you to grow at a fast speed.

Zero Downtime

NoSQL is a go-to database for companies operating on a global scale as they have to face cut-throat competition from the rest of the world, and NoSQL maximizes the productivity and efficiency of the organization. One doesn’t have to be concerned about the failure of hardware because the defect is easily identifiable at the architectural level. The dysfunctionality of one node won’t affect the process as another node already has an alternative copy.

Store Unstructured Data

One of the critical limitations that big corporations were facing with the traditional databases was its inability to store unstructured or semi-structured data. NoSQL helps the organizations to pass this limit and assists in the storing, processing, and retrieval of unstructured data. Our team makes it easy for you to get valuable insights and manage a massive volume of data.

Types of NoSQL Database.

Document Database

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.

Key-Value Stores

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.

Column-Based Database

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.

Graph Database

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.