LIVE
SNOW
Snowflake Inc. · Cloud Data
$232.29
+37.00% this month
VERSUS
⟷
COMPARE
MDB
MongoDB, Inc. · Cloud Data
$332.75
-0.58% this month
Scoreboard verdict
Across AI score, momentum, valuation, upside, operating margin
SNOW
1
MDB
3
Comparison scoreboard
MDB LEADS 3/5AI Score
SNOW 25.7
MDB ✓57.2
1Y Return
SNOW +9.53%
MDB ✓+62.99%
Fwd P/E
SNOW 86.54
MDB ✓45.34
Target Up.
SNOW ✓+25.58%
MDB +18.61%
Op. Margin
SNOW N/A
MDB N/A
Metrics last refreshed: 6/20/2026
Quick take
SNOW vs MDB Stock Comparison: AI Score, Valuation, Performance and Upside
SNOW and MDB are both cloud data infrastructure companies positioned for the AI era, but with different product architectures. Snowflake is the enterprise data warehouse and data sharing platform with Cortex AI adding LLM capabilities to existing data. MongoDB is the developer-favorite document database with Atlas vector search serving AI application builders. Both compete for AI workloads but from different angles — SQL/analytical vs NoSQL/operational.
SNOW vs MDB — Snowflake (the multi-cloud data warehouse and data sharing platform adding Cortex AI to run LLM inference on enterprise data) versus MongoDB (the leading document database with Atlas vector search serving developers building AI applications requiring flexible data models and semantic search).
Live analysis · updated 6/20/2026
MDB holds the edge across 3 of 5 key metrics in this comparison. MDB leads on both 1-year return (+62.99%) and forward P/E (45.34x vs 86.54x for SNOW), a relatively favorable combination of momentum and valuation. Analyst consensus implies meaningfully more upside for SNOW (+25.58%) than for MDB (+18.61%).
Normalized 1Y performance
SNOW
MDB
Recent returns
SNOW
MDB
Analyst price targets & sentiment
SNOW · 48 analysts
STRONG BUYHOLDSTRONG SELL
Strong Buy (1.5/5.0)
Price target range
analyst low$110.00
analyst high$500.00
analyst mean$291.70
current price$232.29
+25.6% 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$332.75
+18.6% upside to analyst mean
Who should consider this stock?
SNOW may suit investors who:
- →believe enterprise data warehousing and data sharing are durable infrastructure categories with Cortex AI expanding Snowflake's TAM into AI inference workloads
- →value Snowflake's multi-cloud neutrality as a structural advantage — large enterprises with multi-cloud policies prefer Snowflake over hyperscaler-native alternatives
- →see Snowflake's data marketplace network effects as a durable competitive moat as more data sharing participants join the platform
- →are comfortable with consumption model revenue volatility, Databricks competitive pressure, and a premium valuation on decelerating revenue growth
MDB may suit investors who:
- →prefer MongoDB's developer-first adoption strategy — the most popular NoSQL database globally with a massive developer talent pipeline favoring MongoDB in new application builds
- →see Atlas vector search as MongoDB's AI workload capture strategy — positioning the database as the infrastructure layer for LLM applications requiring RAG architectures
- →value MongoDB's subscription revenue model providing more predictable revenue than pure consumption — Atlas consumption provides growth optionality on top of subscription base
- →are comfortable with purpose-built vector database competition, economic sensitivity of startup developer spend, and the ongoing transition from on-premise MongoDB to Atlas cloud
Performance & AI score
| Metric | SNOW | MDB |
|---|---|---|
| AI score | 25.7 | 57.2 |
| AI rank | #2711 | #218 |
| Latest close | $232.29 | $332.75 |
| 1M return | +37.00% | -0.58% |
| 6M return | +7.40% | -19.30% |
| 1Y return | +9.53% | +62.99% |
$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?
| Period | SNOW | MDB |
|---|---|---|
| 1Y ago | $10.95K (+9.5%) started 2025-06-18 | $16.3K (+63.0%) started 2025-06-18 |
| 5Y ago | $9.31K (-6.9%) started 2021-06-18 | $8.66K (-13.4%) started 2021-06-18 |
| 10Y ago | $9.15K (-8.5%) started 2020-09-16 | $103.76K (+937.6%) started 2017-10-19 |
Hypothetical — past performance does not guarantee future results.
Valuation & upside potential
| Metric | SNOW | MDB |
|---|---|---|
| Market cap | $80.51B | $26.76B |
| Trailing P/E | N/A | N/A |
| Forward P/E | 86.54 | 45.34 |
| Price/Sales | 16.00 | 10.28 |
| EV/Revenue | 16.38 | 9.87 |
| Analyst target | $291.70 | $394.68 |
| Target upside | +25.58% | +18.61% |
Growth, profitability & risk
| Metric | SNOW | MDB |
|---|---|---|
| Revenue growth | 33.50% | 25.20% |
| Earnings growth | N/A | N/A |
| EPS growth | N/A | N/A |
| FCF margin | +34.56% | +19.89% |
| Operating margin | N/A | N/A |
| Profit margin | -23.79% | -1.12% |
| ROIC proxy | -54.87% | -0.97% |
| Return on equity | -54.87% | -0.97% |
| Dividend yield | 0.00% | 0.00% |
| Beta | 1.35 | 1.55 |
| Debt/equity | 142.91 | 2.00 |
| Current ratio | 1.05 | 4.95 |
| Quick ratio | 0.94 | 4.55 |
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
SNOW max drawdown56.30%
MDB max drawdown48.72%
SNOW max wkly drop23.48%
MDB max wkly drop21.59%
5Y risk snapshot
SNOW max drawdown72.99%
MDB max drawdown76.52%
SNOW max wkly drop28.56%
MDB max wkly drop33.71%
10Y risk snapshot
SNOW max drawdown72.99%
MDB max drawdown76.52%
SNOW max wkly drop28.56%
MDB max wkly drop33.71%
Performance metrics by period
| Period | Metric | SNOW | MDB |
|---|---|---|---|
| 1Y | Growth | +9.53% | +62.99% |
| CAGR | +9.54% | +63.05% | |
| Sharpe ratio | 0.38 | 0.96 | |
| Max drawdown | 56.30% | 48.72% | |
| Max daily drop | 11.83% | 22.24% | |
| Max wkly drop | 23.48% | 21.59% | |
| 5Y | Growth | -6.86% | -13.35% |
| CAGR | -1.41% | -2.83% | |
| Sharpe ratio | 0.21 | 0.24 | |
| Max drawdown | 72.99% | 76.52% | |
| Max daily drop | 18.14% | 26.94% | |
| Max wkly drop | 28.56% | 33.71% | |
| 10Y | Growth | -8.52% | +937.57% |
| CAGR | -1.54% | +31.01% | |
| Sharpe ratio | 0.21 | 0.67 | |
| Max drawdown | 72.99% | 76.52% | |
| Max daily drop | 18.14% | 26.94% | |
| Max wkly drop | 28.56% | 33.71% |
Business comparison
| Category | SNOW | MDB |
|---|---|---|
| Company | Snowflake Inc. | MongoDB, Inc. |
| Sector | Cloud Data | Cloud Data |
| Industry | N/A | N/A |
| Core business | Snowflake is a cloud data platform providing data warehousing, data lake, and data sharing services on AWS, Azure, and GCP. Snowflake's multi-cloud architecture enables organizations to store, query, and share massive structured datasets with SQL. Snowflake's Cortex AI adds LLM capabilities directly inside Snowflake's data platform — enabling AI search, summarization, and model inference on existing data without data movement. Revenue is consumption-based — customers pay for compute credits used rather than seat licenses. | MongoDB is the leading document database company with MongoDB Atlas (its cloud-hosted database service) as the primary growth engine. MongoDB's flexible JSON-like document model enables developers to store and query semi-structured and unstructured data more naturally than rigid SQL schemas. MongoDB Atlas adds vector search capabilities — enabling AI applications to store and search embeddings for RAG (retrieval-augmented generation) workflows. MongoDB serves 47,000+ customers from startups to enterprises. Revenue is subscription-based with Atlas consumption components. |
| Investor focus | Investors focus on Snowflake's product revenue growth, net revenue retention rate, Cortex AI adoption, large customer count growth, and competitive positioning vs Databricks and cloud-native alternatives. | Investors track MongoDB Atlas revenue growth, Atlas as percentage of total revenue, developer community expansion, vector search adoption for AI use cases, and NRR trends. |
SNOW strengths
- →Data sharing network effects: Snowflake's data marketplace enables organizations to share live datasets without copying — creating a network flywheel where more participants increase platform value
- →Cortex AI: LLM and AI inference capabilities natively inside Snowflake allow customers to run AI on existing data without moving it to separate ML platforms — expanding TAM beyond data warehousing
- →Multi-cloud neutrality: Snowflake runs identically on AWS, Azure, and GCP — attracting enterprise customers with multi-cloud policies or wanting to avoid hyperscaler lock-in
MDB strengths
- →Developer-first adoption: MongoDB's document model is the most popular NoSQL database globally — developer familiarity and MongoDB University create a broad talent pipeline favoring MongoDB selection
- →Atlas vector search for AI RAG: MongoDB Atlas's vector search positions the database as infrastructure for AI applications requiring semantic search and embedding retrieval — directly addressing LLM app architecture needs
- →Flexible document model for unstructured data: most enterprise data is semi-structured or unstructured — MongoDB's schema flexibility is architecturally suited for modern application data vs rigid SQL
Risks to watch — SNOW
- →Consumption model creates revenue volatility: Snowflake's revenue is directly tied to customer query volume — optimization by customers reduces revenue even as customer counts grow
- →Databricks competition intensifying: Databricks' lakehouse platform and open Delta Lake format challenge Snowflake's data warehouse business with a unified data + ML alternative
- →High valuation on decelerating growth: Snowflake's revenue growth has slowed from 100%+ to 30%+ — the premium multiple requires sustained execution as the market re-rates growth-to-value
Risks to watch — MDB
- →Competition from purpose-built vector databases: Pinecone, Weaviate, and pgvector (Postgres) challenge MongoDB Atlas vector search for pure AI embedding use cases
- →Economic sensitivity of developer spend: MongoDB's customer base includes many startups and growth-stage companies — economic slowdowns reduce new developer adoption and expansion revenue
- →Atlas consumption model revenue variability: like Snowflake, Atlas usage-based components create revenue variability — customer optimization can reduce expansion revenue even with customer count growth
Frequently asked questions
Free public comparison
Want deeper AI forecasts?
This comparison page is public and free forever. Subscribers can unlock saved watchlists, full AI rankings, detailed forecasts, and interactive analysis tools.
Related comparisons
More comparisons
Browse all 1,000 comparisons →