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Suyati Technologies > Blog > Reducing expenses for mass storage of data with MongoDB

Reducing expenses for mass storage of data with MongoDB

by Stanley Anto February 12, 2015
by Stanley Anto February 12, 2015 0 comment

A database aids in the storage and retrieval of data. Numerous enterprises rave for a database mechanism that would deliver ease of use, when it comes to data storage and retrieval. Database could comprise of a large collection of data that requires access by multiple users at any given point of time. Along with providing multi user access, a database also offers solutions for the efficient functioning of a business and prevention of unauthorized access by hackers and data thefts.
MongoDB and MySQL
Overview
When it comes to information and data management, open source resources are a reliable option. The most widely used NoSQL database in today’s market is MongoDB. MongoDB is widely recognized and accepted as the fastest growing database for new as well as established businesses of all sizes. If you are looking for a document database that not just provide excellence in performance, but also assures abundant availability and ease of scalability, MongoDB is the answer. This document database helps in the smooth and flawless integration of documents and programming language data types.
MySQL, on the other hand, is the most widely used open source relational database management system. It can virtually function across all platforms, simultaneously delivering efficient and affordable database applications. MySQL is well known all over the world for web-based applications and online publishing, thus gaining a strong stand for itself in the industrial market.
MongoDB’s data storage capacity and cost-effectiveness is one of the key factors due to which enterprises favor the adoption of MongoDB over other relational databases like MySQL. It is worthwhile to peek into the key features of MongoDB, to determine if this is indeed the best solution when looking at mass storage and cost effectiveness.
1)      Scalability – cluster, performance and data
MongoDB is considered one of the leaders in the widely renowned NoSQL database market with an extended community of developers to support it. MongoDB has displayed the capacity to create numerous efficient-performance systems at scale. Most of these companies have featured in the list of Fortune 100 companies. Due to its feature of scalability, MongoDB has developed from a single server to a group of servers with over a thousand nodes and huge volumes of documents and data.
When we discuss scalability, we can review it from three conceptual angles – Cluster Scale, Performance Scale and Data Scale. This outlines the ability of the database to be distributed in numerous data centers, sustain a large number of database read and write options per second and storage ability of over a billion documents.
An on-going and evident issue is when enterprises need to add or issue additional work and simultaneous requests to a system. MongoDB has the ability to do all of this without incurring any adverse effects on the performance of the system. It is a reliable database building option that also accommodates an integrated monitoring and testing system. This makes it ready for production.
2)      Organizing data
MongoDB has the incredible ability to incorporate and organize any form of data. It doesn’t follow any strict format, source or structure and adapts to any change accordingly. Enterprises can access data and utilize it for analyzing at any point of time.
3)      Accessibility
With the newly launched MMS software package, MongoDB can easily manage enormous amounts of database systems. With the MMS facility, enterprises can store multiple databases through automation, whether it is incremental background or quick and point-in-time recovery.
4)      Building newer applications
Choosing MongoDB for improving the efficacy of your company is a perfect choice, as it allows you to accumulate real-time data about products, services, resources, employees and customers. This data can then be re-packaged to enhance resource utilization and customer involvement. Companies can provide better services by using MongoDB for collection and analysis of real-time data.
5)      Cost effectiveness
MongoDB has the ability to conveniently and cost-effectively replace highly customized and expensive database systems. Due to the fact that MongoDB is an open source technology, it is easily implemented as compared to exclusive technologies.
6)      Advantage against competitors
With the adoption of MongoDB, enterprises have the benefit of being more proactive and agile when it comes to adapting to changes. This will give them an advantage against competitors. MongoDB is known for its swift creation of mobile applications that integrates data from a variety of incongruent sources.
7)      Upsurge in customer faithfulness 
Customer demands are always on the rise. Customers tend to expect quick and efficient services at all times. With MongoDB, enterprises can ensure that data is shared within the organization and also with business partners, so as to aid in a quicker response to customer queries. This is likely to see an increase in the new customers acquired by the enterprise and also a higher retention percentage of existing customers.
Given the above advantages and key features, MongoDB makes for an ideal database choice for most enterprises to run smoothly and function cost-effectively. MongoDB is considered remarkable for data creation, data storage, data retrieval and data analysis. Enterprises can now move along with the ever-growing market and focus on its efficient data management that has changed from a mere business competency to a serious differentiating factor when it comes to performance. With the constantly growing volumes in data, it is imperative that enterprises shift from the use of traditional software tools to a more reliable source of data management. MongoDB enables enterprises to create and scale the latest applications quickly and with ease. This will give your enterprise the boost to kick start from pilot to production in just a matter of days or weeks.
Image Credit: David Martin on Flickr

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