Last month, modern operational database player https://www.mongodb.com/home announced a close partnership with https://www.databricks.com/, a company whose platform focuses on data engineering, AI and analytics, and who coined the term “data lakehouse.” The New Stack spoke with several https://thenewstack.io/mongodb-atlas-finally-gets-a-command-line-interface/ executives about the partnership, including https://www.linkedin.com/in/alanchhabra/, EVP, Worldwide Partners; https://www.linkedin.com/in/andrewad/, SVP, Products; and https://www.linkedin.com/in/jsposetti/, VP Product, Analytics & Enterprise Tools.
Upon clicking the MongoDB data source option, Databricks developers are immediately placed into a sample notebook with code pre-written to query MongoDB.
The availability of MongoDB’s analytics nodes might suggest a data warehouse or lakehouse (including Databricks’) isn’t necessary.
The first, which the company dubs “In-App Analytics,” involves providing analytics capabilities in the app, sometimes referred to as embedded analytics.