MongoDB and big data processing
The scalability, flexibility of the data model, and support for real-time processing of big data makes MongoDB an excellent choice for big data processing. There are several key features of MongoDB’s big data processing capabilities that you should know about:
Scalability: There are a variety of ways in which MongoDB can be scaled horizontally, which means it is designed to be able to handle increasing data and processing loads as the number of nodes in a cluster increases.
Flexible Data Model: Using MongoDB’s flexible data model, you will be able to easily store and retrieve big data without having to worry about having to use a rigid schema. The advantage of this is that it makes it easier to handle rapidly changing data structures and to process unstructured and semistructured data.
Real-time Processing: There are a number of ways in which MongoDB can be used to process big data in real-time, including its support for in-memory processing and indexing, as well as its built-in aggregation functionality.
Large-scale Data Distribution: Among the many features of MongoDB is its ability to distribute data across multiple nodes so that big data can be processed efficiently.
High Availability: In order to ensure high availability for big data processing applications, MongoDB has been designed with built-in redundancy and automatic failover.
MongoDB can be regarded as a powerful tool for big data processing because it offers scalability, flexibility, real-time processing capabilities, as well as support for large-scale data distribution in addition to high availability and a high level of security. Due to these features, MongoDB is an ideal choice for applications in a variety of industries, such as finance, healthcare, retail, and media, that require big data processing.
How popular is MongoDB?
- Earlier this year, MongoDB, the company that provides the MongoDB NoSQL database and was formerly known as 10gen, announced that it had raised $150 million in new funding, the largest round ever raised by a database company. In a deal valued at $1.2 billion, the New York-based start-up is a testament to the seriousness with which the investment community views MongoDB in the long run.
- In IQT’s view, MongoDB’s ability to store and query both unstructured and structured data at scale and to perform well at scale makes it one of the most important strategic investments in our portfolio, according to Robert Ames, Vice President of Information and Communication Technologies at IQT. Moreover, he said that “MongoDB is built to leverage Big Data and holds great promise for the development of new storage and processing capabilities.”
- As of today, MongoDB has more than 900 customers, including 27 Fortune 100 companies. We serve a number of significant customers, such as CARFAX, Cisco, eBay, eHarmony, MetLife, Salesforce.com, and Telefonica.
- MongoDB has been downloaded more than 6.5 million times.
