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DOMO
Domo, Inc. · Technology - Business Intelligence SaaS
$3.57
+6.73% this month
VERSUS
COMPARE
MDB
MongoDB, Inc. · Technology - Database Software
$359.40
+1.94% this month
Scoreboard verdict
Across AI score, momentum, valuation, upside, operating margin
DOMO
2
MDB
2
MIXED SETUP
Comparison scoreboard
MIXED SETUP
AI Score
DOMO 22.6
MDB 57.1
1Y Return
DOMO -76.10%
MDB +72.04%
Fwd P/E
DOMO 33.06
MDB 48.98
Target Up.
DOMO +21.38%
MDB +9.82%
Op. Margin
DOMO N/A
MDB N/A
Metrics last refreshed: 7/9/2026
Quick take

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.

Live analysis · updated 7/9/2026

DOMO and MDB are closely matched — they split the tracked metrics evenly. MDB has delivered stronger 1-year price return (+72.04% vs -76.10%), though DOMO has the better forward P/E setup (33.06x vs 48.98x for MDB). Analyst consensus implies meaningfully more upside for DOMO (+21.38%) than for MDB (+9.82%).

Normalized 1Y performance
DOMO
MDB
Recent returns
DOMO
MDB
Analyst price targets & sentiment
DOMO · 6 analysts
Price target range
analyst low$2.25
analyst high$7.00
analyst mean$4.33
current price$3.57
+21.4% upside to analyst mean
MDB · 36 analysts
STRONG BUYHOLDSTRONG SELL
Buy (1.6/5.0)
Price target range
analyst low$272.64
analyst high$545.00
analyst mean$394.68
current price$359.40
+9.8% upside to analyst mean
Who should consider this stock?
DOMO may suit investors who:
  • 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
MDB may suit investors who:
  • 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
Performance & AI score
MetricDOMOMDB
AI score22.657.1
AI rank#3948#193
Latest close$3.57$359.40
1M return+6.73%+1.94%
6M return-57.50%-17.54%
1Y return-76.10%+72.04%
$10,000 invested — hypothetical growth (dividends reinvested)

How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?

PeriodDOMOMDB
1Y ago$2.39K (-76.1%)
started 2025-07-08
$17.2K (+72.0%)
started 2025-07-08
5Y ago$429.81 (-95.7%)
started 2021-07-08
$10.22K (+2.2%)
started 2021-07-08
10Y ago$1.31K (-86.9%)
started 2018-06-29
$112.07K (+1020.7%)
started 2017-10-19

Hypothetical — past performance does not guarantee future results.

Valuation & upside potential
MetricDOMOMDB
Market cap$161.19M$28.91B
Trailing P/EN/AN/A
Forward P/E33.0648.98
Price/Sales0.5111.11
EV/Revenue0.8510.20
Analyst target$4.33$394.68
Target upside+21.38%+9.82%
Growth, profitability & risk
MetricDOMOMDB
Revenue growth-0.90%25.20%
Earnings growthN/AN/A
EPS growthN/AN/A
FCF margin+12.77%+19.89%
Operating marginN/AN/A
Profit margin-17.43%-1.12%
ROIC proxyN/A-0.97%
Return on equityN/A-0.97%
Dividend yield0.00%0.00%
Beta1.801.55
Debt/equityN/A2.00
Current ratio0.314.95
Quick ratio0.244.55
Drawdown & downside risk

Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.

1Y risk snapshot
DOMO max drawdown89.01%
MDB max drawdown48.72%
DOMO max wkly drop37.69%
MDB max wkly drop21.59%
5Y risk snapshot
DOMO max drawdown97.95%
MDB max drawdown76.52%
DOMO max wkly drop37.79%
MDB max wkly drop33.71%
10Y risk snapshot
DOMO max drawdown97.95%
MDB max drawdown76.52%
DOMO max wkly drop39.30%
MDB max wkly drop33.71%
Performance metrics by period
PeriodMetricDOMOMDB
1YGrowth-76.10%+72.04%
CAGR-76.13%+72.11%
Sharpe ratio-0.971.03
Max drawdown89.01%48.72%
Max daily drop37.12%22.24%
Max wkly drop37.69%21.59%
5YGrowth-95.70%+2.16%
CAGR-46.71%+0.43%
Sharpe ratio-0.470.29
Max drawdown97.95%76.52%
Max daily drop37.12%26.94%
Max wkly drop37.79%33.71%
10YGrowth-86.92%+1020.67%
CAGR-22.39%+31.94%
Sharpe ratio0.010.68
Max drawdown97.95%76.52%
Max daily drop37.45%26.94%
Max wkly drop39.30%33.71%
Business comparison
CategoryDOMOMDB
CompanyDomo, Inc.MongoDB, Inc.
SectorTechnology - Business Intelligence SaaSTechnology - Database Software
IndustryN/AN/A
Core businessDomo 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 focusInvestors 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.
DOMO strengths
  • 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
MDB strengths
  • 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
Risks to watch — DOMO
  • 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
Risks to watch — MDB
  • 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
Frequently asked questions
Relational databases (MySQL, PostgreSQL, Oracle, SQL Server) store data in tables with predefined columns and rows — like a spreadsheet. Relationships between tables are defined by foreign keys. All data must conform to the predefined schema; changing the schema (adding a column) requires a migration that can be disruptive. SQL (Structured Query Language) is used to query data. Document databases like MongoDB store data as flexible JSON-like documents — each document can have different fields and nested structures. There's no need to define a schema in advance; a user record could have 3 address fields or 10 address fields in different documents in the same collection. This flexibility suits modern applications where data structures evolve rapidly, user data is hierarchical (user + addresses + preferences + order history), and schemas vary between records. The tradeoff: document databases are less suited for complex multi-table joins and transactional operations that relational databases handle efficiently.
AI Prediction SignalNext 5 trading days
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DOMO
+2.8%BUY
MDB
+1.1%HOLD

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