Hello Readers Today we will see how Industries are using mongoDB . For storing and managing data.

History: 10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open-source development model, with the company offering commercial support and other services. In 2013, 10gen changed its name to MongoDB Inc.


MongoDB is a document-oriented NoSQL database used for high volume data storage. Instead of using tables and rows as in the traditional relational databases, MongoDB makes use of collections and documents. Documents consist of key-value pairs which are the basic unit of data in MongoDB. Collections contain sets of documents and function which is the equivalent of relational database tables. MongoDB is a database which came into light around the mid-2000s.

MongoDB’s focus is not only on the database but on overall data. Services like MongoDB Atlas, a database-as-a-service on multi-cloud and MongoDB stitch, are used to build faster and better applications on serverless environments.

In this blog we will se how AstraZeneca a Pharmaceutical company use MongoDB in there research and development.

AstraZeneca embarked on an ambitious program to use next-generation genome sequencing to develop drugs to fight all kinds of disease, including cancer.

The technology creates a synthetic version of messenger RNA, which helps create protein in cells. If successful, the proteins could fight cancer, among other diseases.

But such genomic sequencing requires a great deal of computing power. As Jason Tetrault, architect of R&D information at AstraZenaca explained that for analyzing 88 whole human genomes took 15,000 hours and 171 terabytes (TB) of data. Analyzing a single human genome can take four days.

Fortunately, breakthroughs in genetics are coinciding with quantum leaps in computing power. In particular, MongoDB’s cross-platform, document-oriented database has arrived to crunch such numbers on a grand scale.

Genomic sequencing is a classic example of the challenge of unstructured data. AstraZeneca chose MongoDB for its document storage capability.

This image show how mongoDB helps to gather data then aggregate it for analyzing and give it in a simple format.

AstraZeneca’s experiment involved taking 10% of all its compounds and pulling in information from its disparate database systems. Using MongoDB, the company was able to execute comparisons on about 500,000,000 compounds. With a greater command of the data, AstraZeneca can pursue links and patterns that it never noticed before.