MongoDB provides teams with powerful elasticity, but that flexibility often comes with fragmented visibility into what drives costs. MongoDB Intelligence brings structure to that chaos.

This new module ingests Atlas billing and usage data across organizations, projects, and SKUs, turning raw cost exports into an actionable view of your Atlas estate. You can instantly see how spend breaks down across clusters, backups, and storage, identify which projects are trending up or down, and trace deltas to specific Atlas SKUs like ATLAS_AWS_INSTANCE_* or ATLAS_BACKUP_*.

Analytics for organization-level costs, project distribution, and SKU analytics reveal patterns previously hidden in CSVs, helping FinOps and engineering teams align on the same data when evaluating scaling, tiering, or retention decisions.

On the right, you’ll find an Agentic FinOps AI assistant. Ava isn’t just a chatbot; it’s a reasoning layer that interprets the same data visible on the dashboard. Ask questions like “Which projects or SKUs changed the most this month?” or “Where am I overspending on backups?”, and Ava will analyze cost trends, isolate anomalies, and suggest next best actions.

Setting up MongoDB Intelligence takes only a few minutes — connect your Atlas organization, and DoiT Cloud Intelligence™ will automatically ingest cost and usage data. Follow the step-by-step guide in our Help Center article to enable the integration securely and start visualizing your MongoDB Atlas spend with zero manual exports.

MongoDB Intelligence extends the DoiT Cloud Intelligence™ platform’s FinOps coverage to Atlas, providing your teams with a precise, explainable, and actionable understanding of MongoDB spend. MongoDB Intelligence is available on all DoiT Cloud Intelligence™ tiers