Real-time views of your business
that integrate all of your siloed data.
Your data is your lifeblood. Too bad it’s strewn across your organization, locked in siloed systems. Hordes of companies have tried to build the elusive single view. Most have failed.
With MongoDB, you can build a single view of anything. Faster. With less money.
MetLife built a single view of 100M+ customers and 70 systems in 90 days using MongoDB. It had been trying for many years to build the same application with a relational database. Learn More.
Single View Explained
A Single View application aggregates data from multiple sources into a central repository to create a single view of anything. Example applications include:
Firm-wide view of exposure across asset classes, counterparties, and geographies to manage current risk, and anticipate opportunities.
Single view of military assets – fleets of tanks, ships, Humvees – to better understand how they’re used and where to deploy them next.
Single view of the user across products and logins to know what they’re buying, how they’re interacting with the technology, and what they want.
Omni-channel in a single view, from real-time inventory to historical customer behavior, to create a seamless, branded experience.
Single View is Hard
No Solution. Trying to consolidate different data in different formats from different systems in a relational database is hard and in many cases impossible.
Stalled. Relational databases render teams of architects, developers, and DBAs powerless to iterate and be agile. Instead, they wrestle with data ingestion, transformation, and schema problems for months or even years.
$$$$. Large teams tied up for long periods of time make these projects expensive. Proprietary software and hardware add to the cost. The business case becomes hard for you to justify.
MongoDB Makes it Easy
Elegant Solution. MongoDB can incorporate any type of data, no matter what it looks like or where it comes from, while providing all the features needed to build a powerful application.
Ahead of Schedule. Your teams move faster with MongoDB because its dynamic schemas let them iterate. They spend less time prepping data for the database, and more time pushing the project forward.
MongoDB Query Language. MongoDB's expressive query language, indexing, and aggregation capabilities make it possible to find, filter the data, no matter how the business needs to access it.
Technology Use Cases
Customer Usage Analytics. You should know how people use your product in the real world. By understanding which buttons they use, what breaks, and other usage patterns you can optimize software and hardware. MongoDB’s flexible document model and native aggregation capabilities help tech innovators like Apteligent analyze user behavior to make better apps, phones, chips, networks and anything else in the stack.
Personalization. Your customers interact with you through dozens of channels. You know what they’ve done in the past. You know their likes and dislikes. And now you can start to predict their wants and needs. When they log into the app, or call your customer service reps, or walk into the store, you should know what’s on their mind. Because if you do, you can serve them better, like Expedia does using MongoDB.
Single View of the Customer. Your best customers buy many products from you, yet these customers are the hardest to serve. Their data – billing information, purchase history, clicks and other behavior data – is strewn across your organization, locked in siloed systems. Build a single view of the user across products and logins to know what they’re buying, how they’re interacting with the technology, and what they want.
Scaling MongoDB for Over 300,000 Apps
Charity Majors, Facebook
Building LinkedIn's Learning Platform with MongoDB
Jake Dejno and Ryan Seamons, LinkedIn
Scaling MongoDB to 30,000 Requests Per Second and Beyond
Mike Chesnut, Apteligent
Storing eBay's Media Metadata with MongoDB
Yuri Finkelstein, eBay