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NoSQL Databases Enterprise Necessity And Predictions

Datamation being an indispensible part of the business has driven Database technology a long way. IBM started its research project “System R” (1974). Followed by Oracle, who made relational database commercially available (1979).


SQL is handling databases since years, it’s approximately three-decade monopoly as relational databases have long been used in the IT industry.

Data structure might have changed slightly in the context of dealing with new types and sources of data and distributed RDBM Systems. The elevating influence of SMAC (social, mobile, analytics and cloud), and big data, is challenging the conventional RDBMS.

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Demand for different categories of databases has grown in recent years.

NoSQL is now providing competition to traditional RDBMS. NoSQL databases existed even in the late 1960s however its popularity surged only in the first decade of the 21st century because of the adoption by enterprises such as Google, Amazon, and Yahoo.

The increasing involvement of social, mobility and cloud, and the humongous volumes of unstructured/semi-structured data generated, is challenging RDBMS (relational database management system).

These organizations realized that they cannot depend on RDBMS technology for their vast data volumes. Therefore, they started innovating by adopting open source culture and developed end-to-end ecosystems to control and manage their business requirements.

For the coming 30 years, technological and database advancements are going to evolve from the requirements of data-driven applications.

The open source movement made these innovations highly collaborative and at a blistering pace. And the gap between traditional database technology and these innovations widened further. The new trend of non-relational database “NoSQL” has built a gamut of opportunities via data collation, analysis, and its management.

And, as per a new Forrester Wave report, “NoSQL is no more an option; rather it has become a necessity and predicted next-generation applications.”

Why so? It is because NoSQL is the non-relational technology and it can support scale-out architecture, leveraging low-cost compute servers, rapid elasticity, and clustered to deliver the performance of very large high-end symmetric multiprocessing (SMP) servers, as per Forrester Research .

Moreover, NoSQL offers a flexible schema-less model offering the capability to store, process, and access any kind of data. It is intelligent enough to handle unstructured, structured, and semi-structured data.

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semi-structured data

intelligent enough to handle unstructured

The pivotal factor in the NoSQL adoption is that it can lower data management costs, as several NoSQL solutions are available as an open source, and paid ones are available in low cost in comparison to a full version of commercial relational database management solutions.

Forrester scrutinized several NoSQL options in its recent Forrester Wave report, inclusive of open source, commercial and cloud-based, and also included 15 NoSQL solutions in its report.

Looking into the Wave NoSQL leaders list presented in Forrester research, NoSQL’s is going to take momentum in the enterprise in future.

How SQL and NoSQL databases are different?

SQL databases depict data in table form, comprising of rows and columns, whereas NoSQL databases lacks schema definitions.

NoSQL is mainly “document-based” and do not have standard schema definitions using key-value pairs, graph databases (unstructured) or wide-column store-based data types, hence making them ideal for dealing with unstructured data.

In today’s scenario, industry possesses around 300 exabytes of unstructured data and it is increasing every day. The assumed rise of unstructured data is at 56% per annum, in comparison to 12% for the structured data; therefore, “NoSQL database” is predicted as the database of the future.

As per CBRonline.com, the database market is expected to be worth $46 billion globally, it is a total that is estimated to go up to $50.1 billion in 2017.

Talking about scalability and rapid elasticity, SQL databases were permitted to scale vertically, while NoSQL scales horizontally. SQL uses structure query language which defines and manipulates data whereas NoSQL queries are targeted on the collection of documents.

SQL databases are generally a good fit for a complicated query-intensive environment; this is something where NoSQL doesn’t excel in. This doesn’t imply that they are inefficient but NoSQL is just a better suitable option to handle the workload of different data types, today. It performs efficient with hierarchical data storage but SQL databases aren’t well-suited to this.

Few of the leading SQL databases are Oracle, IBM DB2, Microsoft SQL Server, while the leading NoSQL databases are MongoDB, Cassandra, Redis.

NoSQL addresses the requirement of distributed data stores, non-relational data model, horizontal scalability and very importantly, design agility demanded by user and programmers.

MongoDB (previously known as 10gen) is a leader who provides NoSQL in open source model along with subscription-based technical support and other services.

Eliot Horowitz (co-founder and chief technology officer of MongoDB Inc.) elaborates the basic fundamentals of its design philosophy. He states that “MongoDB was not designed in a lab.

It was developed based on experience building large-scale and high available robust system.” It was Interesting to note that his team didn’t begin from scratch. They patched what was missing in another open source database, MySQL.

In case you need transaction processing applications which can generate hundreds of reports, then RDBMS should be the preference. However, in case you are planning to add the flavor of an analytics to your transactional applications, then you are required to be exposed to the constraints of the underlying RDBMS foundation. The real consumers of your applications need intelligent reports generated by mashed up data.

SQL relational databases are conventionally seen as places to handle and store structured data, like phone numbers, however, with the inception of non-relational databases, like NoSQL databases, handle well with unstructured data like social media.

The modern applications should be built on NoSQL databases in case you wish to make use of unstructured data. The market has reached a point where most developers and IT companies understand that modern applications cannot continue to be developed based on relational database technologies.

NoSQL databases, MongoDB etc., was designed to make it simple and easy to develop applications which require rapid change, always-on operation, massive scale and support for a huge variety of unstructured and semi-structured data, all at potentially lower costs.

Global demand for NoSQL database technologies is driving the growth of business and greatly expanding enterprise deployments.

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