Data as of:
LIVE
AMPL
Amplitude, Inc. · Product Analytics / Digital Analytics
$13.20
+2.88% this month
VERSUS
COMPARE
DDOG
Datadog, Inc. · Cloud Observability / DevOps
$229.92
-1.54% this month
Comparison scoreboard
DDOG LEADS 4/5AI Scorei
AMPL 22.7
DDOG ✓58.8
1Y Returni
AMPL +10.37%
DDOG ✓+68.06%
Fwd P/Ei
AMPL ✓72.85
DDOG 79.83
Target Up.i
AMPL +9.39%
DDOG ✓+20.34%
Op. Margini
AMPL -32.77%
DDOG ✓0.67%
Metrics last refreshed: 9/19/2026
Quick take
AMPL vs DDOG Stock Comparison: AI Score, Valuation, Performance and Upside
AMPL and DDOG serve different analytics buyers within the same organization — Amplitude serves product managers measuring user behavior and feature adoption, while Datadog serves engineering teams monitoring infrastructure and application performance. They are complementary rather than directly competing products. Datadog is significantly larger, faster-growing, and broader in platform scope. Amplitude is the specialist in product analytics with deeper behavioral query capabilities tailored for product managers.
AMPL vs DDOG — Amplitude (the product analytics specialist serving product managers with behavioral user analytics, A/B testing, and digital funnel analysis at digital-first consumer companies) versus Datadog (the engineering observability platform serving DevOps teams with infrastructure monitoring, APM, security, and now incident management at enterprise scale).
Live analysis · updated 9/19/2026
DDOG holds the edge across 4 of 5 key metrics in this comparison. DDOG has delivered stronger 1-year price return (+68.06% vs +10.37%), though AMPL has the better forward P/E setup (72.85x vs 79.83x for DDOG). DDOG leads on both revenue growth (35.60%) and operating margin (0.67%), suggesting a stronger fundamental setup on both dimensions. Analyst consensus implies meaningfully more upside for DDOG (+20.34%) than for AMPL (+9.39%).
Want a full valuation workup? 46-section report — AI Score, Monte Carlo forecast, bull/bear case, DCF, and more.
Normalized 1Y performance
AMPL
DDOG
Recent returns
AMPL
DDOG
Analyst price targets & sentiment
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.
AMPL
Price target range
analyst mean$13.77
current price$13.20
+9.4% upside to analyst mean
DDOG · 38 analysts
STRONG BUYHOLDSTRONG SELL
Buy (1.6/5.0)
41 Buy / 4 Hold / 1 Sell
Price target range
analyst low$115.00
analyst mean$285.18
current price$229.92
+20.3% upside to analyst mean
Who should consider this stock?
AMPL may suit investors who:
- believe product analytics requires specialized behavioral query depth (sequence analysis, cohort funnels) that engineering observability platforms like Datadog don't provide to product manager workflows
- see Amplitude's product manager buyer base as defensible — product managers choose Amplitude specifically; Datadog's engineering focus means it rarely displaces Amplitude in product team budgets
- value Amplitude's A/B testing and analytics integration as a closed-loop measurement system that broad analytics platforms don't offer in one workflow
- are comfortable with competitive pressure from Mixpanel and Adobe Analytics, CDP expansion complexity, and GAAP profitability timeline at slower growth rates
DDOG may suit investors who:
- prefer Datadog's observability platform breadth (engineering + some product analytics) with 25%+ ARR growth vs Amplitude's product analytics niche with slower growth trajectory
- value usage-based pricing tied to cloud infrastructure growth as a structural revenue expansion mechanism that Amplitude's seat-based pricing model doesn't provide
- see Datadog's LLM Observability and On-Call expansion as incremental TAM expansion beyond core observability that Amplitude's product analytics specialization can't replicate
- are comfortable with premium valuation and cloud optimization revenue headwinds in exchange for the broader market opportunity and stronger enterprise economics
Performance & AI score
| Metric | AMPL | DDOG |
|---|---|---|
| AI scorei | 22.7 | 58.8 |
| AI ranki | #4025 | #196 |
| Latest closei | $13.20 | $229.92 |
| 1M returni | +2.88% | -1.54% |
| 6M returni | +88.30% | +76.94% |
| 1Y returni | +10.37% | +68.06% |
$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 | AMPL | DDOG |
|---|---|---|
| 1Y ago | $11.04K (+10.4%) started 2025-09-18 | $16.81K (+68.1%) started 2025-09-18 |
| 5Y ago | $2.41K (-75.9%) started 2021-09-28 | $16.16K (+61.6%) started 2021-09-20 |
| 10Y ago | $2.41K (-75.9%) started 2021-09-28 | $61.23K (+512.3%) started 2019-09-19 |
Hypothetical — past performance does not guarantee future results.
Valuation & upside potential
| Metric | AMPL | DDOG |
|---|---|---|
| Market capi | $1.67B | $85.09B |
| Trailing P/Ei | N/A | 473.96 |
| Forward P/Ei | 72.85 | 79.83 |
| Price/Salesi | N/A | 14.88 |
| EV/Revenuei | 3.85 | 20.52 |
| Analyst targeti | $13.77 | $285.18 |
| Target upsidei | +9.39% | +20.34% |
Growth, profitability & risk
| Metric | AMPL | DDOG |
|---|---|---|
| Revenue growthi | 21.20% | 35.60% |
| Earnings growthi | N/A | 1498.50% |
| EPS growthi | N/A | +1498.50% |
| FCF margini | +19.02% | +26.51% |
| Operating margini | -32.77% | 0.67% |
| Profit margini | -26.59% | 4.48% |
| ROIC proxyi | -47.89% | 4.70% |
| Return on equityi | -47.89% | 4.70% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | 0.00% | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | 1.50 | 1.51 |
| Debt/equityi | 7.13 | 29.26 |
| Current ratioi | 1.05 | 3.21 |
| Quick ratioi | 0.85 | 3.10 |
Correlation
Over the past year, AMPL and DDOG have moved weakly in the same direction (correlation of 0.26), based on daily returns.
1Y
0.26
-1.0+1.0
5Y
0.45
-1.0+1.0
10Y
0.45
-1.0+1.0
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
AMPL max drawdowni54.39%
DDOG max drawdowni48.62%
AMPL max wkly dropi22.26%
DDOG max wkly dropi18.04%
5Y risk snapshot
AMPL max drawdowni93.38%
DDOG max drawdowni68.11%
AMPL max wkly dropi60.15%
DDOG max wkly dropi23.41%
10Y risk snapshot
AMPL max drawdowni93.38%
DDOG max drawdowni68.11%
AMPL max wkly dropi60.15%
DDOG max wkly dropi30.02%
Performance metrics by period
| Period | Metric | AMPL | DDOG |
|---|---|---|---|
| 1Y | Growthi | +10.37% | +68.06% |
| CAGRi | +10.38% | +68.12% | |
| Volatilityi | 65.10% | 69.57% | |
| Sharpe ratioi | 0.41 | 1.02 | |
| Sortino ratioi | 0.60 | 1.76 | |
| Max drawdowni | 54.39% | 48.62% | |
| Current drawdowni | 7.69% | 20.21% | |
| Avg drawdowni | 25.78% | 20.55% | |
| Ulcer Indexi | 30.34% | 25.46% | |
| Max daily dropi | 21.41% | 19.03% | |
| Max wkly dropi | 22.26% | 18.04% | |
| 5Y | Growthi | -75.91% | +61.63% |
| CAGRi | -24.90% | +10.09% | |
| Volatilityi | 65.24% | 59.46% | |
| Sharpe ratioi | -0.14 | 0.38 | |
| Sortino ratioi | -0.19 | 0.58 | |
| Max drawdowni | 93.38% | 68.11% | |
| Current drawdowni | 84.43% | 20.21% | |
| Avg drawdowni | 81.59% | 37.26% | |
| Ulcer Indexi | 83.41% | 40.78% | |
| Max daily dropi | 58.90% | 19.03% | |
| Max wkly dropi | 60.15% | 23.41% | |
| 10Y | Growthi | -75.91% | +512.30% |
| CAGRi | -24.90% | +29.56% | |
| Volatilityi | 65.24% | 60.18% | |
| Sharpe ratioi | -0.14 | 0.65 | |
| Sortino ratioi | -0.19 | 1.01 | |
| Max drawdowni | 93.38% | 68.11% | |
| Current drawdowni | 84.43% | 20.21% | |
| Avg drawdowni | 81.59% | 30.18% | |
| Ulcer Indexi | 83.41% | 35.49% | |
| Max daily dropi | 58.90% | 19.03% | |
| Max wkly dropi | 60.15% | 30.02% |
Business comparison
| Category | AMPL | DDOG |
|---|---|---|
| Company | Amplitude, Inc. | Datadog, Inc. |
| Sector | Technology | Technology |
| Industry | Software - Application | Software - Application |
| Core business | Amplitude is the leading digital analytics platform providing product teams with behavioral analytics — understanding how users interact with digital products, which features drive retention, and where users drop off in conversion funnels. Amplitude's event-based tracking captures every user action in a mobile app or web application and provides product managers with journey analysis, cohort analysis, and A/B test measurement tools. Amplitude Analytics, Experiment (A/B testing), CDP (Customer Data Platform), and Session Replay combine to serve the full product analytics workflow. Customers include Peloton, Twitter, DoorDash, and hundreds of enterprise digital product teams. | Datadog is the leading cloud-native observability platform providing infrastructure monitoring, APM (application performance monitoring), log management, security monitoring, and AI observability for engineering and DevOps teams. Datadog serves engineering and DevOps teams rather than product managers — monitoring server health, application latency, and error rates rather than user behavior and feature adoption. Datadog RUM (Real User Monitoring) and Session Replay do overlap with product analytics in monitoring user experience in web applications — but Datadog's primary buyer is the engineer, not the product manager. |
| Investor focus | Investors focus on Amplitude's ARR growth, competitive differentiation from Mixpanel and Adobe Analytics, expansion from product analytics into broader customer data platform, and path to profitability. | Investors focus on Datadog's ARR growth, large enterprise expansion, LLM Observability for AI workloads, On-Call incident management expansion, and sustained 25%+ revenue growth. |
AMPL strengths
- Product analytics market leader: Amplitude is the go-to platform for product managers and growth teams measuring feature adoption, user retention, and conversion funnel optimization at digital-first companies
- Event-based behavioral analytics depth: Amplitude's query engine handles complex behavioral sequence analysis (users who did A then B within 7 days) that traditional SQL databases and simpler tools struggle with at scale
- A/B testing and product analytics integration: combining Amplitude Analytics with Amplitude Experiment provides closed-loop feature measurement — launch a feature and immediately measure its impact on retention and conversion in the same tool
DDOG strengths
- Observability platform breadth vs Amplitude's product analytics niche: Datadog's 15+ products serve engineering (monitoring, APM, security) plus some product analytics (RUM) — much broader total addressable market
- Usage-based pricing tied to cloud infrastructure growth: Datadog's revenue grows as customers' cloud footprint grows — structural expansion vs Amplitude's seat-based pricing model
- AI observability expansion: LLM Observability tracks AI model performance — Datadog is entering the AI infrastructure monitoring market that doesn't exist in Amplitude's product analytics scope
Risks to watch — AMPL
- Mixpanel, Heap, and Adobe Analytics competition: the product analytics market has multiple capable competitors including Mixpanel (private), Heap (acquired by Contentsquare), and Adobe Analytics — differentiation is increasingly difficult at the mid-market level
- Broader CDP market competition: Amplitude's expansion into CDP (competing with Segment/Twilio, Rudderstack) adds product complexity and puts it in competition with larger, more established data platforms
- Path to profitability: Amplitude has sustained GAAP losses — slowing growth rates in a tighter enterprise software environment create pressure on the investment thesis
Risks to watch — DDOG
- Amplitude and product analytics tools serve different buyers: Datadog's primary buyer is engineering and DevOps — product managers use Amplitude for behavioral analytics, creating limited head-on competition between the platforms
- Premium valuation: Datadog at 20-30x revenue requires sustained growth that any deceleration can compress significantly
- Cloud optimization headwinds: consumption-based pricing means Datadog revenue growth slows during enterprise cloud spend reduction cycles
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