MongoDB has been the choice of several individual data administrators and corporations alike. Since Big Data is limitless and it lacks a defined structure, people are expressing their desire to use NoSQL databases over SQL databases.

The lack of rigidity and the presence of easy scalability ensures the NoSQL databases can accommodate the collection, storage, and organization of Big Data. NoSQL databases are document-based databases that do not follow conventional table-based structures.

MongoDB has been the leading NoSQL database for quite a while. Apart from dealing with vast volumes of Big Data, MongoDB provides the users with fast, real-time and on-the-fly access to their data. Most of the larger corporations as well as smaller companies leverage MongoDB for making data-driven decisions and optimizing the consumer experience.

This open-source and cross-platform compatible database has the potential to manage Big Data without deteriorating the user experience. Additionally, MongoDB is compatible with the Java Platform and .NET applications. Currently, brands like Expedia, Bosch, Metlife, and The Weather Channel are using this NoSQL database.

Why Should You Try MongoDB For Managing Vast Volumes of Data?

How is MongoDB influencing the management of Big Data across multiple niches?

One of the most significant advantages of using a popular NoSQL database like MongoDB is the support that comes with it. Since thousands of corporations and individuals are already using this database, you can be sure to find help at their consumer support helpline or on dedicated online forums.

Several dedicated sites and blogs exclusively provide troubleshooting advice to users across the world. You can find expert in-house DBAs or remote DBAs to help you with your database. Visit RemoteDBA.com to find out all about remotely managing MongoDB databases.

MongoDB has been evolving in structure and function such that the users never face bottle-necking of their data. Here’s what MongoDB can help you with, in the long run:

1# Storing vast volumes of data that lack structure

Most relational (SQL) databases can only store structured data. They are ideal for performing conventional statistical analytics.

However, to handle Big Data, you will need a system that has no limits on the data type. A NoSQL database should allow you to add as many types of data as you need and you should be able to modify the data in the future.

MongoDB is a document-based database that allows the user to store the binary data points similar to JSON without any compulsion of defining the data type.

2# Leveraging cloud computing and advanced storage technology

The cloud-based storage MongoDB provides the user with is ideal for saving money and other resources. However, to scale-up, it requires a seamless spread of data across multiple systems.

MongoDB is excellent for loading large volumes of data, all the while offering high flexibility and accessibility. It has built-in data sharing options, MongoDB is an excellent database choice for those working with high-volume data influx in the cloud.

3# Developing is easy and fast

You may need to update your data frequently or access it on-the-go. If you want to bypass the significant downtime that usually comes between two versions or edits, you should give MongoDB a try.

It is a standardized, open-source solution that thousands are currently working on. Therefore, if you face any challenge during creating new iterations or making updates to your data structure, MongoDB should be your go-to database solution.

4# Scale-up options are always available

With MongoDB, you can expand your database or spread your data any time you deem necessary. It fosters the seamless spread of data throughout different computer systems and hardware-based servers. Most of the times, MongoDB does not require complementary software to scale up according to the rising volumes of data inflow.

What are the new features of MongoDB that demand your attention?

The contributors and developers at MongoDB never sit still. Here are some of the best new features of MongoDB every developer and the potential user should check out right now,

MongoDB Mobile

The release of MongoDB mobile has helped to take the functions and features of the leading NoSQL database to IoT as well. Mobile devices that use the beta version of MongoDB mobile can connect to the cloud, other mobiles, and devices on the system.

It is decidedly not the first NoSQL mobile database; Couchbase has beat MongoDB in that race quite a while ago. However, the launch of MongoDB mobile marks the beginning of MongoDB’s journey into the world of mobile devices and the Internet of Things (IoT).

It uses the server-less platform Stitch that helps the developers by removing most of the complexity of the database structure.

The use of Stitch

Stitch brings the entire MongoDB together and gives the developers a chance to use Functions and Triggers for writing real-time codes. These are MongoDB’s value-added features that help in bringing the database backend and mobile developers together on one platform.

MongoDB is quickly becoming the one-stop solution for all developer solutions, data management solutions and mobile database management options.

MongoDB Charts

Right now, MongoDB has also introduced the beta version of the MongoDB charts. It is a visualization tool that enables the developers to catch the real-time data changes on the MongoDB database in graphical or visual formats.

It is a powerful tool for those, who are interested in the visualization of the data on top of live operational data. Further, it is ideal for self-service access users, who want something simple but useful. The MongoDB Chart option yields simple pie-charts, line charts, and graphs, similar to Microsoft Excel.

Multi-document transactions

In 2019, MongoDB announced the introduction of multi-document ACID transaction capabilities. While the company initially tested the services on just 3000 people in the MongoDB community, it is a breakthrough in Big Data management. Some applications genuinely require the transaction of multiple documents at once.

MongoDB is one of the first NoSQL databases to introduce ACID transaction capabilities. Even today, most developers with 30 years of experience, do not have access to NoSQL databases that offer multi-document transactions.

MongoDB is a simple solution to the complex Big Data problems any company can face in the 21st century. It stores data in the most flexible, JSON-like documents. Since it is free and open-source, finding help with troubleshooting at any time and any place is easy and quick. It is a distributed database with powerful indexing and real-time data aggregation options.

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Author Bio: Jack Dsouja

About the author

From time to time, we feature outside authors on fincyte and publish their informative guest posts online. This is one of those selected guest posts. Further, opinions expressed by Fincyte contributors are their own.

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