SNOW vs DDOG: Snowflake vs Datadog Stock Comparison: AI Score, Valuation, Performance and Upside
Snowflake is a cloud data platform where enterprises store, process, and run AI workloads on their data. Datadog is an observability platform that monitors cloud infrastructure, applications, and increasingly AI workloads. Snowflake is a data storage and compute play; Datadog is a monitoring and operations play. Both benefit from cloud and AI growth but in different ways.
Use this SNOW vs DDOG comparison to evaluate two essential cloud data infrastructure companies. Snowflake profits from enterprises processing more data and running AI workloads; Datadog profits from enterprises monitoring their growing cloud and AI infrastructure.
DDOG holds the edge across 5 of 5 key metrics in this comparison. DDOG leads on both 1-year return (+70.80%) and forward P/E quality (93.19x vs 122.46x for SNOW), a relatively favorable combination of momentum and valuation. On fundamentals, SNOW is growing revenue faster (33.50%), while DDOG maintains the higher operating margin (0.80%) — a classic growth-versus-profitability split. Analyst consensus implies meaningfully more upside for DDOG (+0.74%) than for SNOW (-8.53%).
- Want exposure to enterprise data platform growth and AI workload processing on cloud data
- Believe Snowflake's data sharing and Cortex AI capabilities create durable network effects
- Are comfortable with consumption-based revenue volatility in exchange for high revenue expansion potential
- Value Snowflake's cross-cloud neutrality as a differentiator versus cloud-native alternatives
- Prefer a profitable cloud platform with predictable subscription revenue and strong margin trajectory
- Value Datadog's unified observability platform and high multi-product adoption as proof of platform stickiness
- Believe AI observability is a large and growing opportunity as enterprises deploy more AI/ML workloads
- Want a cloud infrastructure play with better operating margins and capital efficiency than Snowflake
| Metric | SNOW | DDOG |
|---|---|---|
| AI score | 33.6 | 53.6 |
| AI rank | #1865 | #294 |
| Latest close | $330.49 | $233.93 |
| 1M return | +26.47% | -10.40% |
| 6M return | +110.89% | +119.18% |
| 1Y return | +60.12% | +70.80% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | SNOW | DDOG |
|---|---|---|
| 1Y ago | $16.01K (+60.1%) started 2025-08-07 | $17.15K (+71.5%) started 2025-08-07 |
| 5Y ago | $11.8K (+18.0%) started 2021-08-09 | $17.99K (+79.9%) started 2021-08-09 |
| 10Y ago | $13.02K (+30.2%) started 2020-09-16 | $62.3K (+523.0%) started 2019-09-19 |
Hypothetical — past performance does not guarantee future results.
| Metric | SNOW | DDOG |
|---|---|---|
| Market cap | $114.55B | $95.39B |
| Trailing P/E | N/A | 669.92 |
| Forward P/E | 122.46 | 93.19 |
| Price/Sales | 22.76 | 14.88 |
| EV/Revenue | 22.72 | 25.03 |
| Analyst target | $302.29 | $269.97 |
| Target upside | -8.53% | +0.74% |
| Metric | SNOW | DDOG |
|---|---|---|
| Revenue growth | 33.50% | 32.20% |
| Earnings growth | N/A | 104.00% |
| EPS growth | N/A | +104.00% |
| FCF margin | +34.56% | +25.51% |
| Operating margin | -22.17% | 0.80% |
| Profit margin | -23.79% | 3.69% |
| ROIC proxy | -54.87% | 3.93% |
| Return on equity | -54.87% | 3.93% |
| Dividend yield | 0.00% | N/A |
| Beta | 1.31 | 1.54 |
| Debt/equity | 142.91 | 32.22 |
| Current ratio | 1.05 | 3.40 |
| Quick ratio | 0.94 | 3.29 |
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | SNOW | DDOG |
|---|---|---|---|
| 1Y | Growth | +60.12% | +71.53% |
| CAGR | +60.17% | +71.66% | |
| Sharpe ratio | 0.96 | 1.06 | |
| Max drawdown | 56.30% | 48.62% | |
| Max daily drop | 11.83% | 19.03% | |
| Max wkly drop | 23.48% | 18.04% | |
| 5Y | Growth | +18.03% | +79.95% |
| CAGR | +3.38% | +12.48% | |
| Sharpe ratio | 0.28 | 0.41 | |
| Max drawdown | 72.99% | 68.11% | |
| Max daily drop | 18.14% | 19.03% | |
| Max wkly drop | 28.56% | 23.41% | |
| 10Y | Growth | +30.15% | +522.98% |
| CAGR | +4.58% | +30.44% | |
| Sharpe ratio | 0.30 | 0.66 | |
| Max drawdown | 72.99% | 68.11% | |
| Max daily drop | 18.14% | 19.03% | |
| Max wkly drop | 28.56% | 30.02% |
| Category | SNOW | DDOG |
|---|---|---|
| Company | Snowflake Inc. | Datadog, Inc. |
| Sector | Technology | Technology |
| Industry | N/A | Software - Application |
| Core business | Cloud data platform offering data warehousing, data lake, data sharing, and AI/ML workloads via Snowpark and Cortex AI. Consumption-based pricing model where customers pay for compute and storage used. | Cloud monitoring and observability platform offering infrastructure monitoring, APM, log management, security, and AI observability tools. Subscription-based SaaS model. |
| Investor focus | Product revenue growth re-acceleration, AI workload adoption (Cortex AI, Snowpark), remaining performance obligations, net revenue retention, and path to profitability. | Multi-product adoption, AI observability module growth, large customer expansion, operating margin improvement, and competitive positioning against Splunk/Dynatrace. |
- Leading cloud data platform with deep data sharing capabilities and a growing AI/ML workload engine (Cortex AI)
- Consumption-based model creates natural revenue expansion as customers store and process more data
- Data Cloud network effects — more customers sharing data on Snowflake increases platform value for all participants
- Unified observability platform with industry-leading breadth — infrastructure, APM, logs, security, and AI monitoring in one platform
- High net revenue retention driven by customers adopting additional monitoring modules over time
- AI observability tools position Datadog to monitor the exploding number of AI/ML workloads and LLM applications
- Consumption-based revenue can be volatile — customers can optimize workloads and reduce spending quickly
- Competition from Databricks, BigQuery, and cloud-native data services from AWS/Azure/GCP
- Profitability remains a challenge — heavy sales and R&D spending keeps operating margins negative
- Observability market competition from Splunk (Cisco), Dynatrace, Grafana, and cloud-native monitoring tools
- Revenue growth deceleration as the base grows larger and enterprise spending optimization continues
- Pricing pressure as open-source alternatives (Grafana, OpenTelemetry) gain enterprise traction
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