Currently at all-time peak NRR of 121%.
MongoDB is above the AI Infrastructure Public median by +12.7pp (cell median: 108%)
MongoDB (MDB) is a ai infrastructure company at the public stage. As of its most recent disclosure (FY2027-Q1), MongoDB reported a Net Revenue Retention rate of 121% - a strong result for B2B SaaS at this segment.
MongoDB is currently at or near its all-time NRR peak.
Within its peer set (ai infrastructure companies at public stage in the $100k-$500k acv band), MongoDB's NRR is meaningfully above the cell median of 108%. Compare against the full peer cell aggregate for distribution and top performers.
Contract shape and forward-booked revenue.
Logo flow per period (count-side complement to dollar-based NRR).
Revenue, ARR, and team-size denominators for the productivity ratios.
Support tiers: technical support · comprehensive 24x365 coverage
CS team segments: enterprise · mid-market · self-serve/SMB
CSM model: hybrid
Education programs: Office Hours
Top customer exec: Erica Volini - Chief Customer Officer (since 2026) · reports to CEO
Named CS initiatives across recent disclosures (newest first).
Collaboration to help customers build and deploy AI applications with partners like Accenture and AWS.
"During 2024, we announced MongoDB AI Applications Program (MAAP), a first-of-its-kind collaboration"
Acquisition of Voyage AI Innovations, Inc. for AI-powered embedding and reranking models.
"On February 17, 2025... the Company acquired all outstanding shares of Voyage AI Innovations, Inc."
New CCO role created to focus on technical success, support, and professional services to ensure customers get value.
"Erica's focus will be as a Chief Customer Officer to ensure that customers... get to value"
Concerted effort to reinvest in the Bay Area startup and AI-native community through hackathons and dedicated support.
"we made a concerted effort to reinvest in the Bay Area... Reclaim the Bay initiative"
Hired a new leader with 30 years experience to lead application modernization and automate legacy app migration.
"This quarter, we hired a new leader... to lead our application modernization program."
Integrating Voyage embedding and re-ranking models natively into the MongoDB platform.
"Our recent acquisition of Voyage AI enhances our ability to serve this need... Voyage's leading embedding models."
Significant incremental investments in the strategic accounts program to move up market.
"in fiscal 2026, we will make significant incremental investments in our strategic accounts program."
Using AI tooling and services to reduce cycle time for modernizing legacy Java/Oracle apps.
"In fiscal 2025, our pilots demonstrated that AI tooling combined with services can reduce the cycle time"
Challenges acknowledged by management. Useful peer signals - your team is probably not alone.
Slower growth rate for existing Atlas applications due to macroeconomic conditions.
"we expect to experience macroeconomic headwinds on growth rate for our existing Atlas applications"
Limited visibility into consumption patterns in the back half of the fiscal year.
"visibility is more limited in the back half of the fiscal year"
AI is not yet a material driver of financial results despite high engagement.
"While AI is not yet a material driver to our results, we are encouraged by the growth"
Historical seasonal variability and consumption patterns during the holiday period impacting Atlas revenue predictability.
"taking into account the historical seasonal variability and consumption patterns during the holiday period"
Softness in Atlas consumption during April due to increased macroeconomic volatility.
"some softness in April as macroeconomic volatility increased"
Competitors like Snowflake and Databricks moving into the OLTP space via Postgres acquisitions.
"we saw Snowflake kind of move and make the move towards Postgres. We saw Databricks kind of doing something there."
Curated quotes about customer outcomes, retention, renewals.
"I would attribute a lot to that effort. I would say a big part of this growth is the fact that we're acquiring higher quality workloads that are growing faster and for longer"
"Engage directly with C-suite leaders to elevate MongoDB from a technical decision to a strategic platform commitment."
"Atlas is higher than the company average, EA is a little bit lower, and it's really Atlas that can drive that growth."
"Retention rates remained strong in Q3, demonstrating the mission criticality of our platform."
"The reason we're doing this [professional services], though, is for the ARR, right, to drive the new workloads."
"retention rates remained strong in Q4, demonstrating the quality of our product and the mission criticality."
Side-by-side NRR, customer cohorts, commercial structure, and CS motion.
MongoDB appears on 3 of our retention leaderboards.
Free to embed on your blog or board deck. Includes a small backlink to cust.co.
Or grab the data: JSON API →
| Period | NRR | GRR | Source type | Filing |
|---|---|---|---|---|
| FY2027-Q1 | 121% | - | earnings-call-transcript | source ↗ |
| FY2026-Q4 | 121% | - | earnings-call-transcript | source ↗ |
| FY2026-Q3 | 120% | - | earnings-call-transcript | source ↗ |
| FY2026-Q2 | 119% | - | earnings-call-transcript | source ↗ |
| FY2026-Q1 | 119% | - | earnings-call-transcript | source ↗ |
| FY2025-Q4 | 119% | - | earnings-call-transcript | source ↗ |
| FY2025-Q3 | 120% | - | earnings-call-transcript | source ↗ |
Generate a live retention report against MongoDB and your full peer cell. Ungated. Downloadable as PDF.