PLTR vs DDOG Stock Comparison: AI Score, Valuation, Performance and Upside
Palantir and Datadog are both enterprise software companies benefiting from AI adoption, but with different business models: Palantir sells AI-powered decision-support platforms directly tied to government and large enterprise operations, while Datadog sells infrastructure and application monitoring software that scales with overall cloud and AI workload growth across a broader customer base.
Palantir offers a more concentrated, higher-growth bet on AI platform adoption in government and select large enterprises, often trading at a premium valuation, while Datadog offers broader, more diversified exposure to cloud infrastructure growth with a more consumption-sensitive revenue model. Consider whether you prefer Palantir's concentrated AI platform story or Datadog's broader observability platform exposure.
DDOG holds the edge across 3 of 5 key metrics in this comparison. DDOG leads on both 1-year return (+36.06%) and forward P/E quality (79.83x vs 80.50x for PLTR), a relatively favorable combination of momentum and valuation. PLTR leads on both revenue growth (92.80%) and operating margin (47.12%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies meaningfully more upside for DDOG (+20.34%) than for PLTR (+2.89%).
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.
- Believe AIP adoption will keep driving accelerating US commercial revenue growth
- Value deep, defensible government relationships as a moat against competition
- Are comfortable paying a premium valuation for a high-growth AI platform story
- Want exposure to both government and enterprise AI decision-support spending
- Want diversified exposure to cloud infrastructure growth across thousands of customers rather than concentrated contracts
- Value a proven land-and-expand sales motion with historically strong net revenue retention
- Believe growing AI workload complexity will drive more demand for sophisticated monitoring tools
- Prefer a more moderately valued growth stock relative to Palantir's premium multiple
| Metric | PLTR | DDOG |
|---|---|---|
| AI scorei | 65.4 | 57.4 |
| AI ranki | #51 | #54 |
| Latest closei | $175.40 | $220.52 |
| 1M returni | -7.07% | -20.45% |
| 3M returni | +7.83% | -23.47% |
| 6M returni | +29.06% | +51.32% |
| 1Y returni | -15.34% | +36.06% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | PLTR | DDOG |
|---|---|---|
| 1Y ago | $9.2K (-8.0%) started 2025-11-04 | $14K (+40.0%) started 2025-11-04 |
| 5Y ago | $67.46K (+574.6%) started 2021-11-05 | $13.21K (+32.1%) started 2021-11-04 |
| 10Y ago | $184.63K (+1746.3%) started 2020-09-30 | $58.73K (+487.3%) started 2019-09-19 |
Hypothetical — past performance does not guarantee future results.
| Metric | PLTR | DDOG |
|---|---|---|
| Market capi | $447.67B | $85.09B |
| Trailing P/Ei | 159.22 | 473.96 |
| Forward P/Ei | 80.50 | 79.83 |
| Price/Salesi | 96.76 | 14.88 |
| EV/Revenuei | 71.25 | 20.52 |
| Analyst targeti | $191.68 | $285.18 |
| Target upsidei | +2.89% | +20.34% |
| Metric | PLTR | DDOG |
|---|---|---|
| Revenue growthi | 92.80% | 35.60% |
| Earnings growthi | 215.40% | 1498.50% |
| EPS growthi | +215.40% | +1498.50% |
| FCF margini | +35.07% | +26.51% |
| Operating margini | 47.12% | 0.67% |
| Profit margini | 49.01% | 4.48% |
| ROIC proxyi | 38.10% | 4.70% |
| Return on equityi | 38.10% | 4.70% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 1.56 | 1.51 |
| Debt/equityi | 2.14 | 29.26 |
| Current ratioi | 7.23 | 3.21 |
| Quick ratioi | 7.09 | 3.10 |
Over the past year, PLTR and DDOG have moved weakly in the same direction (correlation of 0.39), based on daily returns.
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | PLTR | DDOG |
|---|---|---|---|
| 1Y | Growthi | -8.04% | +40.00% |
| CAGRi | -8.05% | +40.07% | |
| Volatilityi | 61.05% | 73.18% | |
| Sharpe ratioi | 0.08 | 0.76 | |
| Sortino ratioi | 0.13 | 1.24 | |
| Max drawdowni | 44.75% | 48.62% | |
| Current drawdowni | 16.10% | 24.80% | |
| Avg drawdowni | 18.81% | 21.43% | |
| Ulcer Indexi | 22.18% | 25.80% | |
| Max daily dropi | 11.62% | 19.03% | |
| Max wkly dropi | 17.88% | 18.22% | |
| 5Y | Growthi | +574.62% | +32.09% |
| CAGRi | +46.52% | +5.73% | |
| Volatilityi | 67.22% | 60.32% | |
| Sharpe ratioi | 0.83 | 0.31 | |
| Sortino ratioi | 1.33 | 0.48 | |
| Max drawdowni | 77.57% | 68.11% | |
| Current drawdowni | 16.10% | 24.80% | |
| Avg drawdowni | 31.90% | 37.48% | |
| Ulcer Indexi | 40.22% | 40.85% | |
| Max daily dropi | 21.31% | 19.03% | |
| Max wkly dropi | 38.89% | 23.41% | |
| 10Y | Growthi | +1746.32% | +487.27% |
| CAGRi | +61.35% | +28.20% | |
| Volatilityi | 69.77% | 60.46% | |
| Sharpe ratioi | 0.96 | 0.64 | |
| Sortino ratioi | 1.59 | 0.98 | |
| Max drawdowni | 84.62% | 68.11% | |
| Current drawdowni | 16.10% | 24.80% | |
| Avg drawdowni | 39.05% | 29.80% | |
| Ulcer Indexi | 47.17% | 35.21% | |
| Max daily dropi | 21.31% | 19.03% | |
| Max wkly dropi | 38.89% | 30.02% |
| Category | PLTR | DDOG |
|---|---|---|
| Company | Palantir Technologies Inc. | Datadog, Inc. |
| Sector | Technology | Technology |
| Industry | Software - Infrastructure | Software - Application |
| Core business | Provides data integration and AI decision-support software (Foundry, Gotham, and the AI Platform) to government agencies and increasingly to commercial enterprises for operational decision-making. | Provides cloud monitoring, observability, and security software that helps enterprises track the performance and reliability of their applications and infrastructure, with growing AI-specific monitoring tools. |
| Investor focus | US commercial revenue growth acceleration, government contract renewals and expansion, AIP (AI Platform) adoption, and GAAP profitability trends. | Net revenue retention rate, platform expansion (customers adopting more products), large customer growth, and profitability trends. |
- Deep, long-standing government contract relationships that are difficult for competitors to displace
- Rapidly growing US commercial business as AIP demonstrations convert into large enterprise deals
- High gross margins with improving GAAP profitability and strong balance sheet with minimal debt
- Broad, expanding product platform that increases wallet share as customers adopt more monitoring modules
- Strong net revenue retention historically, reflecting a sticky, land-and-expand sales motion
- Benefits from the same AI infrastructure buildout as customers need more sophisticated monitoring for AI workloads
- Valuation has historically traded at a large premium to peers, leaving limited room for growth disappointments
- Revenue concentration in large, lumpy government and enterprise contracts that can shift timing quarter to quarter
- Commercial business is newer and less proven at scale than the government segment
- Growth has decelerated from its earlier hyper-growth years as the cloud infrastructure market matures
- Cloud cost optimization by customers can pressure Datadog's consumption-based revenue model in soft macro periods
- Increasing competition from both point solutions and cloud providers' native monitoring tools
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