Business Jumpstart: The Right (and Wrong) Use Cases for MongoDB

Editor's Notes

• #4: There are many forces at work changing how we build and run applications today: Development methods have shifted from waterfall patterns that unfold over 12-24 months to iterative patterns that evolve on a monthly basis. Organizations need software and infrastructure that support fast time to market. Application costs have shifted, from being dominated by costs associated with infrastructure to being dominated by costs associated with engineers. Organizations need software and infrastructure that help to lower engineering costs. In the background, there is what Gartner calls a “nexus of forces” that are driving massive change in how organizations run their business. Mobile usage is now >50% of all internet usage. Users are online continuously, throughout the day, and there are more of them than ever before. Social dominates use of the internet, including 93% of businesses use social media. Data growth is unprecedented. 90% of all data created in the history of mankind was created in the last two years. Unstructured growing at 2x structured. Cloud infrastructure costs have been declining approximately 30% YOY for the past two decades. MongoDB was designed to help organizations capitalize on these trends by providing a database that dramatically speeds how quickly applications can be brought to market, and leverages modern infrastructure trends to drive down costs.
• #5: MongoDB was built to address the way the world has changed while preserving the core database capabilities required to build functional apps MongoDB is the only database that harnesses the innovations of NoSQL and maintains the foundation of relational databases
• #7: This is where MongoDB fits into the existing enterprise IT stack MongoDB is an operational data store used for online data, in the same way that Oracle is an operational data store. It supports applications that ingest, store, manage and even analyze data in real-time. (Compared to Hadoop and data warehouses, which are used for offline, batch analytical workloads.)
• #8: Here we have greatly reduced the relational data model for this application to two tables. In reality no database has two tables. It is much more common to have hundreds or thousands of tables. And as a developer where do you begin when you have a complex data model?? If you’re building an app you’re really thinking about just a hand full of common things, like products, and these can be represented in a document much more easily that a complex relational model where the data is broken up in a way that doesn’t really reflect the way you think about the data or write an application.
• #27: What We Sell We are the MongoDB experts. Over 1,000 organizations rely on our commercial offerings, including leading startups and 30 of the Fortune 100. We offer software and services to make your life easier: MongoDB Enterprise Advanced is the best way to run MongoDB in your data center. It’s a finely-tuned package of advanced software, support, certifications, and other services designed for the way you do business. MongoDB Management Service (MMS) is the easiest way to run MongoDB in the cloud. It makes MongoDB the system you worry about the least and like managing the most. Production Support helps keep your system up and running and gives you peace of mind. MongoDB engineers help you with production issues and any aspect of your project. Development Support helps you get up and running quickly. It gives you a complete package of software and services for the early stages of your project. MongoDB Consulting packages get you to production faster, help you tune performance in production, help you scale, and free you up to focus on your next release. MongoDB Training helps you become a MongoDB expert, from design to operating mission-critical systems at scale. Whether you’re a developer, DBA, or architect, we can make you better at MongoDB.