NewAnnouncing MongoDB Atlas Vector Search and Dedicated Search Nodes for genAI use cases

Unstructured Data Management

Before the advent of online and mobile applications, managing data was pretty straightforward. Databases followed the relational model of organizing data into a pre-defined structure of rows and columns that were contained in tables.

But today’s data hardly resembles the data of yesterday. Data generated by modern applications are predominantly unstructured – e.g., text, video files, social media posts, emails – and doesn’t fit neatly into rows and columns.

NoSQL databases arose to address the limitations of relational databases and are particularly suited for unstructured data management. MongoDB, the leading NoSQL solution according to DB-Engine rankings, is particularly adept at storing unstructured data. MongoDB’s document data model stores all related data together within a single document, making it much more flexible than the rigid structure of the relational database model.

Unstructured data management presents both a challenge and an opportunity for today’s enterprises. Thousands of organizations from the latest startup to large Fortune 100 companies have used MongoDB to build amazing applications that leverage unstructured data.

Learn more about the success of these companies with unstructured data management and how you can benefit from their example. Download our white paper today.

Email Me the PDF

More like this

View all resources

MongoDB Architecture Guide

MongoDB enables you to meet the demands of modern apps with an application data platform built on several core architectural foundations


Who Owns Security in the Cloud?

At MongoDB, our overriding mission is to make data easier to work with. This can’t happen if data becomes compromised for any reason


Application-Driven Intelligence: Defining the Next Wave of Modern Apps

The digital economy demands smarter applications and faster predictive insights

Download Now
Please provide your email and we’ll email this to you