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 and DT are closely matched — they split the tracked metrics evenly. DDOG has delivered stronger 1-year price return (+71.49% vs -25.57%), though DT trades at the lower forward P/E (18.31x vs 80.73x). Analyst consensus implies meaningfully more upside for DT (+9.37%) than for DDOG (+1.38%).
- →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 score | 53.0 | 32.3 |
| AI rank | #312 | #2090 |
| Latest close | $223.00 | $41.42 |
| 1M return | +3.65% | +3.65% |
| 6M return | +63.12% | -5.67% |
| 1Y return | +71.49% | -25.57% |
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 | $17.15K (+71.5%) started 2025-06-18 | $7.44K (-25.6%) started 2025-06-18 |
| 5Y ago | $21.6K (+116.0%) started 2021-06-18 | $7.26K (-27.4%) started 2021-06-18 |
| 10Y ago | $59.39K (+493.9%) started 2019-09-19 | $17.37K (+73.7%) started 2019-08-01 |
Hypothetical — past performance does not guarantee future results.
| Metric | DDOG | DT |
|---|---|---|
| Market cap | $81.84B | $12.07B |
| Trailing P/E | 589.49 | 76.70 |
| Forward P/E | 80.73 | 18.31 |
| Price/Sales | 14.88 | 5.98 |
| EV/Revenue | 21.34 | 5.49 |
| Analyst target | $233.06 | $45.30 |
| Target upside | +1.38% | +9.37% |
| Metric | DDOG | DT |
|---|---|---|
| Revenue growth | 32.20% | 19.40% |
| Earnings growth | 104.00% | -52.60% |
| EPS growth | +104.00% | -52.60% |
| FCF margin | +25.51% | +24.86% |
| Operating margin | 0.80% | N/A |
| Profit margin | 3.69% | 8.06% |
| ROIC proxy | 3.93% | 6.22% |
| Return on equity | 3.93% | 6.22% |
| Dividend yield | N/A | 0.00% |
| Beta | 1.55 | 0.74 |
| Debt/equity | 32.22 | 6.29 |
| Current ratio | 3.40 | 1.35 |
| Quick ratio | 3.29 | 1.22 |
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 | Growth | +71.49% | -25.57% |
| CAGR | +71.55% | -25.59% | |
| Sharpe ratio | 1.07 | -0.67 | |
| Max drawdown | 48.62% | 42.87% | |
| Max daily drop | 11.28% | 11.43% | |
| Max wkly drop | 18.04% | 15.00% | |
| 5Y | Growth | +115.96% | -27.40% |
| CAGR | +16.65% | -6.20% | |
| Sharpe ratio | 0.47 | -0.06 | |
| Max drawdown | 68.11% | 61.77% | |
| Max daily drop | 17.18% | 17.98% | |
| Max wkly drop | 23.41% | 27.11% | |
| 10Y | Growth | +493.87% | +73.67% |
| CAGR | +30.22% | +8.35% | |
| Sharpe ratio | 0.66 | 0.31 | |
| Max drawdown | 68.11% | 61.77% | |
| Max daily drop | 17.87% | 17.98% | |
| Max wkly drop | 30.02% | 33.58% |
| Category | DDOG | DT |
|---|---|---|
| Company | Datadog, Inc. | Dynatrace, Inc. |
| Sector | Technology | Technology |
| Industry | Software - Application | N/A |
| 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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