DDOG vs DT Stock Comparison: AI Score, Valuation, Performance and Upside
Datadog and Dynatrace are the two leading independent observability platforms, but with different go-to-market strategies and customer bases. Datadog is developer-led, cloud-native, and grows through bottoms-up product adoption across a 20+ product portfolio; Dynatrace is enterprise sales-led with AI-powered automation (Davis AI) that appeals to large IT organizations managing complex environments. Both are expanding into AI workload observability and security.
DDOG vs DT is a developer-led cloud-native observability platform (Datadog) versus an AI-automated enterprise observability specialist (Dynatrace) — Datadog has broader product reach and faster growth from cloud-native adoption, while Dynatrace has deeper enterprise relationships and Davis AI's automation advantage in complex environments.
DDOG holds the edge across 3 of 5 key metrics in this comparison. DDOG has delivered stronger 1-year price return (+68.06% vs +13.46%), though DT has the better forward P/E setup (22.30x vs 79.83x for DDOG). On fundamentals, DDOG is growing revenue faster (35.60%), while DT maintains the higher operating margin (12.89%) — a classic growth-versus-profitability split. Analyst consensus implies meaningfully more upside for DDOG (+20.34%) than for DT (+14.86%).
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.
- prefer a developer-loved platform with the broadest observability and security product portfolio
- value product-led growth from modular adoption that drives consistent net dollar retention expansion
- want exposure to cloud-native DevOps adoption and AI model observability as a new monitoring category
- are comfortable with premium valuation reflecting Datadog's platform breadth and developer ecosystem dominance
- prefer AI-powered causal observability with automated root-cause analysis valued by large enterprise IT organizations
- value Dynatrace's deep enterprise relationships in financial services, telecom, and government with high switching costs
- want a more modest-valuation observability specialist with consistent 120%+ net revenue retention
- are comfortable with slower enterprise sales cycles and less rapid product portfolio expansion than Datadog
| Metric | DDOG | DT |
|---|---|---|
| AI scorei | 58.8 | 42.9 |
| AI ranki | #196 | #902 |
| Latest closei | $229.92 | $55.14 |
| 1M returni | -1.54% | +11.17% |
| 6M returni | +76.94% | +41.17% |
| 1Y returni | +68.06% | +13.46% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | DDOG | DT |
|---|---|---|
| 1Y ago | $16.81K (+68.1%) started 2025-09-18 | $11.35K (+13.5%) started 2025-09-18 |
| 5Y ago | $16.16K (+61.6%) started 2021-09-20 | $7.84K (-21.6%) started 2021-09-20 |
| 10Y ago | $61.23K (+512.3%) started 2019-09-19 | $23.12K (+131.2%) started 2019-08-01 |
Hypothetical — past performance does not guarantee future results.
| Metric | DDOG | DT |
|---|---|---|
| Market capi | $85.09B | $14.88B |
| Trailing P/Ei | 473.96 | 102.52 |
| Forward P/Ei | 79.83 | 22.30 |
| Price/Salesi | 14.88 | N/A |
| EV/Revenuei | 20.52 | 6.84 |
| Analyst targeti | $285.18 | $58.88 |
| Target upsidei | +20.34% | +14.86% |
| Metric | DDOG | DT |
|---|---|---|
| Revenue growthi | 35.60% | 16.20% |
| Earnings growthi | 1498.50% | -24.90% |
| EPS growthi | +1498.50% | -24.90% |
| FCF margini | +26.51% | +26.08% |
| Operating margini | 0.67% | 12.89% |
| Profit margini | 4.48% | 7.22% |
| ROIC proxyi | 4.70% | 5.88% |
| Return on equityi | 4.70% | 5.88% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 1.51 | 0.71 |
| Debt/equityi | 29.26 | 6.50 |
| Current ratioi | 3.21 | 1.21 |
| Quick ratioi | 3.10 | 1.04 |
Over the past year, DDOG and DT have moved moderately in the same direction (correlation of 0.50), 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 | DDOG | DT |
|---|---|---|---|
| 1Y | Growthi | +68.06% | +13.46% |
| CAGRi | +68.12% | +13.47% | |
| Volatilityi | 69.57% | 42.27% | |
| Sharpe ratioi | 1.02 | 0.41 | |
| Sortino ratioi | 1.76 | 0.58 | |
| Max drawdowni | 48.62% | 36.49% | |
| Current drawdowni | 20.21% | 1.24% | |
| Avg drawdowni | 20.55% | 15.55% | |
| Ulcer Indexi | 25.46% | 18.56% | |
| Max daily dropi | 19.03% | 11.43% | |
| Max wkly dropi | 18.04% | 15.00% | |
| 5Y | Growthi | +61.63% | -21.56% |
| CAGRi | +10.09% | -4.75% | |
| Volatilityi | 59.46% | 41.60% | |
| Sharpe ratioi | 0.38 | -0.02 | |
| Sortino ratioi | 0.58 | -0.02 | |
| Max drawdowni | 68.11% | 61.77% | |
| Current drawdowni | 20.21% | 29.99% | |
| Avg drawdowni | 37.26% | 39.68% | |
| Ulcer Indexi | 40.78% | 41.17% | |
| Max daily dropi | 19.03% | 17.98% | |
| Max wkly dropi | 23.41% | 27.11% | |
| 10Y | Growthi | +512.30% | +131.19% |
| CAGRi | +29.56% | +12.47% | |
| Volatilityi | 60.18% | 46.38% | |
| Sharpe ratioi | 0.65 | 0.39 | |
| Sortino ratioi | 1.01 | 0.55 | |
| Max drawdowni | 68.11% | 61.77% | |
| Current drawdowni | 20.21% | 29.99% | |
| Avg drawdowni | 30.18% | 31.09% | |
| Ulcer Indexi | 35.49% | 35.39% | |
| Max daily dropi | 19.03% | 17.98% | |
| Max wkly dropi | 30.02% | 33.58% |
| Category | DDOG | DT |
|---|---|---|
| Company | Datadog, Inc. | Dynatrace, Inc. |
| Sector | Technology | Technology |
| Industry | Software - Application | Software - Application |
| Core business | Datadog provides a cloud-based observability and security platform that unifies infrastructure monitoring, application performance management (APM), log management, real user monitoring, and cloud security in a single platform. Built natively on AWS with a developer-friendly, metrics-first approach, Datadog has become the default observability platform for cloud-native organizations. Its platform is highly modular — customers typically start with infrastructure monitoring and expand to APM, logs, and security products over time. | Dynatrace provides AI-powered observability and security software for enterprise environments, featuring Davis AI — its proprietary causal AI engine — that automatically detects and diagnoses performance anomalies without requiring manual correlation. Dynatrace targets large enterprise organizations with complex, heterogeneous environments spanning cloud and on-premises infrastructure. Its focus on AI-powered automation and root-cause analysis differentiates it from Datadog's more manual monitoring approach in large enterprise accounts. |
| Investor focus | Investors track customer count growth (especially large customers spending $1M+), the number of products adopted per customer (platform consolidation metric), AI observability features that capture AI model performance monitoring, and free cash flow margin improvement. | Investors track ARR growth, net revenue retention above 120%, large enterprise wins and platform expansions, and Davis AI adoption as a differentiator in complex IT environments where automated root-cause analysis saves operations teams significant manual work. |
- Developer-loved platform with the broadest observability product portfolio, spanning 20+ products from infra to APM to security
- AI integration both as an AI product observability vendor and AI-powered Bits AI copilot for faster incident resolution
- Strong net dollar retention from product cross-sell — customers consistently expand usage across the 20+ product portfolio
- Davis AI's causal analysis automatically identifies root causes rather than showing alerts requiring manual correlation — significant value in complex enterprise environments
- Strong foothold in large enterprise and regulated industries (financial services, telecommunications, government) where comprehensive observability and compliance are priorities
- Platform consolidation across observability and security creates high switching costs in large enterprise accounts with significant Dynatrace investment
- Growth has decelerated from post-COVID cloud migration peaks as organizations rationalize cloud spending
- Dynatrace, New Relic (Grafana), and open-source alternatives (Prometheus, Grafana) compete across observability categories
- Cybersecurity product expansion creates competition with dedicated security vendors at every new product addition
- Slower revenue growth rate than Datadog, reflecting Dynatrace's enterprise sales cycle length versus Datadog's developer-led growth
- Datadog's broader product portfolio and developer mindshare create competitive pressure in mid-market and cloud-native segments
- Enterprise IT budget caution has lengthened Dynatrace sales cycles and slowed new logo acquisition
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