MongoDBCFO said the self-managed licensing model offers higher upfront profitability and may deliver higher gross margins over time.

MongoDB executives said the company's self-managed Enterprise Advanced business is reaccelerating, with double-digit growth over each of the past three quarters, and now view it and the Atlas cloud platform as complementary "two growth engines." Chief Financial Officer Mike Berry said during a fireside chat that demand for deployment flexibility has risen over the past 12 to 18 months, driven by regulated industries, government customers, data requirements, cloud capacity constraints and economics, and that growth among large customers using both self-managed MongoDB and Atlas has exceeded the companywide average. Chief Product Officer Ben Cefalo said customers value the ability to build an application once and move it among cloud and on-premise environments, and that MongoDB recently made Search and Vector generally available for self-managed customers after developing those capabilities first in Atlas. Berry said the self-managed licensing model generally offers higher upfront profitability and may deliver higher gross margins over time, and that shared underlying technology limits incremental research and development needs. On AI, Cefalo cited investments in MCP Server capabilities, Voyage AI integration, auto-embedding and a LangChain partnership, while noting enterprise adoption of custom AI applications remains early as security, governance, privacy and regulatory concerns slow production deployments. For the current fiscal-year guidance discussed at the event, Berry said research and development spending is projected to rise about 30%, sales and marketing spending is expected to increase in the mid-teens and general and administrative spending by lower single digits.
MongoDBCFO said the self-managed licensing model offers higher upfront profitability and may deliver higher gross margins over time.