DOMO vs MDB Stock Comparison: AI Score, Valuation, Performance and Upside
DOMO (Domo) and MDB (MongoDB) are both software companies in the data infrastructure stack but at different layers — Domo is a business intelligence platform helping non-technical business leaders visualize and act on data through dashboards and reporting, while MongoDB is a developer database platform enabling software developers to build applications on a flexible document-oriented database. Domo is a BI tool for business users; MongoDB is a database for software developers.
DOMO vs MDB is cloud business intelligence for business users (Domo's no-code dashboarding and data integration platform helping executives and operations teams access data insights without technical skills) versus developer data platform for application builders (MongoDB's flexible document database enabling developers to build modern applications with a data model that adapts to evolving requirements) — business user analytics versus developer database infrastructure.
DOMO and MDB are closely matched — they split the tracked metrics evenly. On fundamentals, MDB is growing revenue faster (25.20%), while DOMO maintains the higher operating margin (-3.11%) — a classic growth-versus-profitability split. Analyst consensus implies meaningfully more upside for MDB (+21.62%) than for DOMO (-0.56%).
Human Wall Street analysts' price targets, typically implying a ~12-month view — a separate signal from this site's own AI Prediction Signal further down the page, which is a 5-/30-day machine-learning forecast based on price history alone.
- Want a cloud-native business intelligence platform exposure with a large existing customer base that has expansion potential as BI usage grows across departments within customer organizations
- Value Domo's non-technical user accessibility as differentiating from data-analyst-focused BI tools — Domo's target user is the executive or operations manager, not the data scientist
- Accept Domo's profitability challenges and competition from free Microsoft Power BI as manageable risks while believing Domo's collaboration and integration breadth maintain its competitive position
- Want developer database platform exposure with strong Atlas cloud revenue growth — MongoDB's developer-first adoption model creates a large and growing installed base that converts to Atlas cloud revenue as applications scale
- Value MongoDB's document database model as creating genuine technical differentiation for modern application development versus relational databases' schema rigidity
- Prefer MongoDB's developer community adoption as a durable distribution advantage — developers write MongoDB into new projects, creating an organic growth engine that salesforce-driven enterprise software companies cannot replicate
| Metric | DOMO | MDB |
|---|---|---|
| AI scorei | 26.0 | 63.5 |
| AI ranki | #3352 | #89 |
| Latest closei | $3.24 | $366.49 |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | DOMO | MDB |
|---|---|---|
| 1Y ago | $9.14K (-8.6%) started 2026-09-23 | $11.66K (+16.6%) started 2025-10-16 |
| 5Y ago | $9.14K (-8.6%) started 2026-09-23 | $7.27K (-27.3%) started 2021-10-18 |
| 10Y ago | $9.14K (-8.6%) started 2026-09-23 | $114.28K (+1042.8%) started 2017-10-19 |
Hypothetical — past performance does not guarantee future results.
| Metric | DOMO | MDB |
|---|---|---|
| Market capi | $166.98M | $30.02B |
| Trailing P/Ei | N/A | 540.88 |
| Forward P/Ei | 33.81 | 48.16 |
| Price/Salesi | 0.53 | N/A |
| EV/Revenuei | 0.89 | 12.51 |
| Analyst targeti | $3.53 | $453.91 |
| Target upsidei | -0.56% | +21.62% |
| Metric | DOMO | MDB |
|---|---|---|
| Revenue growthi | -3.70% | 25.20% |
| Earnings growthi | N/A | N/A |
| EPS growthi | N/A | N/A |
| FCF margini | +3.45% | +19.89% |
| Operating margini | -3.11% | -3.61% |
| Profit margini | -13.37% | -1.12% |
| ROIC proxyi | N/A | -0.97% |
| Return on equityi | N/A | -0.97% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 1.77 | 1.54 |
| Debt/equityi | N/A | 2.00 |
| Current ratioi | 0.28 | 4.95 |
| Quick ratioi | 0.20 | 4.55 |
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | DOMO | MDB |
|---|---|---|---|
| 1Y | Growthi | -8.59% | +16.59% |
| CAGRi | -98.35% | +16.61% | |
| Volatilityi | N/A | 70.30% | |
| Sharpe ratioi | N/A | 0.51 | |
| Sortino ratioi | N/A | 0.73 | |
| Max drawdowni | 8.59% | 48.72% | |
| Current drawdowni | 8.59% | 22.40% | |
| Avg drawdowni | 5.37% | 19.91% | |
| Ulcer Indexi | 5.93% | 24.32% | |
| Max daily dropi | 4.51% | 22.24% | |
| Max wkly dropi | 6.20% | 21.59% | |
| 5Y | Growthi | -8.59% | -27.28% |
| CAGRi | -98.35% | -6.18% | |
| Volatilityi | N/A | 70.92% | |
| Sharpe ratioi | N/A | 0.20 | |
| Sortino ratioi | N/A | 0.30 | |
| Max drawdowni | 8.59% | 76.52% | |
| Current drawdowni | 8.59% | 37.36% | |
| Avg drawdowni | 5.37% | 46.34% | |
| Ulcer Indexi | 5.93% | 48.98% | |
| Max daily dropi | 4.51% | 26.94% | |
| Max wkly dropi | 6.20% | 33.71% | |
| 10Y | Growthi | -8.59% | +1042.78% |
| CAGRi | -98.35% | +31.12% | |
| Volatilityi | N/A | 66.08% | |
| Sharpe ratioi | N/A | 0.67 | |
| Sortino ratioi | N/A | 1.02 | |
| Max drawdowni | 8.59% | 76.52% | |
| Current drawdowni | 8.59% | 37.36% | |
| Avg drawdowni | 5.37% | 30.98% | |
| Ulcer Indexi | 5.93% | 37.87% | |
| Max daily dropi | 4.51% | 26.94% | |
| Max wkly dropi | 6.20% | 33.71% |
| Category | DOMO | MDB |
|---|---|---|
| Company | Domo, Inc. | MongoDB, Inc. |
| Sector | Technology - Business Intelligence SaaS | Technology |
| Industry | Software - Application | Software - Infrastructure |
| Core business | Domo is a cloud-native business intelligence (BI) and data platform — providing data integration (connecting to 1,000+ data sources), data preparation, dashboarding, reporting, and collaborative analytics for business leaders and operations teams. Domo positions itself as a modern BI alternative to legacy tools like SAP BusinessObjects or IBM Cognos, enabling non-technical business users to access and share data insights without IT dependency. | MongoDB is the developer data platform built around MongoDB Atlas, a fully managed cloud NoSQL (document-oriented) database — and the legacy MongoDB Community self-hosted database. MongoDB's document model stores data as JSON-like documents rather than traditional relational rows and columns, making it more flexible for modern application development. Atlas runs on AWS, Azure, and Google Cloud and is MongoDB's primary revenue driver. |
| Investor focus | Investors track Domo's ARR growth, customer count (particularly larger enterprise customers), net revenue retention, path to profitability (Domo has historically burned significant cash), and competition from Tableau (Salesforce), Power BI (Microsoft), and Looker (Google) in the business intelligence market. | Investors track MongoDB Atlas revenue growth (the cloud-hosted product growing much faster than legacy on-premises), dollar-based net expansion rate (how much existing customers grow spending), total customer count, and MongoDB's competitive positioning against cloud-native databases from AWS (DynamoDB, Aurora), Google (Firestore), and traditional relational databases. |
- Non-technical business user accessibility — Domo's platform is designed for executives, sales managers, and operations leaders (not data analysts) to create and share dashboards without needing SQL or technical skills, differentiating from developer-focused BI tools
- Cloud-native data integration breadth — Domo has pre-built connectors for 1,000+ data sources (Salesforce, Google Analytics, social media, ERP systems), reducing the integration work that makes BI projects expensive and slow
- Collaborative workflow features — Domo includes task management, notifications, and social collaboration features around data insights, allowing teams to act on data findings without switching to separate tools
- Developer-first adoption model creates bottom-up enterprise deployment — developers choose MongoDB for their projects based on technical merits; MongoDB usage grows within organizations as projects scale, eventually becoming enterprise-contracted Atlas deployments
- Document model flexibility for modern application development — MongoDB's schema-flexible document model is well-suited to modern applications (user profiles, product catalogs, event logs, IoT data) where data structures evolve rapidly and relational schemas would require constant migration
- Atlas cloud database growth across all three major clouds — MongoDB Atlas runs on AWS, Azure, and GCP, enabling companies to use MongoDB alongside their existing cloud infrastructure without being locked to a single cloud provider's native database
- Intense competition from Microsoft Power BI (included with Office 365 licenses at no incremental cost) and Tableau (Salesforce) — Power BI in particular represents a significant competitive threat because it is essentially free for the tens of millions of Office 365 enterprise customers
- Profitability challenges — Domo has historically spent heavily on sales and marketing relative to revenue and has struggled to reach sustained profitability; cash burn has been a persistent investor concern
- Platform commoditization as major cloud providers build BI into their data warehouses — Snowflake, Databricks, BigQuery, and Redshift all include native BI and visualization tools that partially overlap with Domo's functionality
- Competition from AWS (DynamoDB), Google (Firestore, BigQuery), and Azure (Cosmos DB) — all major cloud providers offer native NoSQL database services that compete directly with MongoDB Atlas on their respective clouds; AWS and Google have pricing and integration advantages on their home turf
- Economic sensitivity of consumption-based revenue — MongoDB Atlas uses consumption pricing (customers pay for data stored and compute used); when applications scale back or companies optimize database costs, Atlas consumption and revenue can decline
- Open-source licensing tensions — MongoDB changed its license from AGPL to SSPL (Server Side Public License) to prevent cloud providers from offering MongoDB as a service without contributing back; this has driven some developers toward open-source forks (like DocumentDB compatibility) or alternatives
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