Databases and NoSQL: MongoDB’s Approach to Companies with Scaling Data Requirements QuantLayer Podcast

Relational databases versus NoSQL is of interest today given growing data requirements for businesses. Real-time, internet of things, storing geodata, financial data are examples where traditional relational databases don’t make the cut required for modern systems. We discuss the successes and failings of relational databases, and how MongoDB’s approach to NoSQL data structures allow them to serve specific customer problems with specialized solutions. We look at some customer case studies and finish up with their business model.
Topics:
What MongoDB is Their database Their overview What are the benefits Customer case studies On their solution Growth Strategy Links:
Last 10K - https://www.sec.gov/Archives/edgar/data/1441816/000144181619000067/mdb-013119x10k.htm
Last 10Q - https://www.sec.gov/ix?doc=/Archives/edgar/data/1441816/000144181619000187/mdb-073119x10q.htm
Prospectus - https://www.sec.gov/Archives/edgar/data/1441816/000104746917006446/a2233574z424b4.htm
Ycharts financials - https://ycharts.com/financials/MDB/income_statement/quarterly
MongoDB - https://www.mongodb.com/