ORCL vs DDOG Stock Comparison
Oracle Corporation vs Datadog, Inc.
ORCL leads
ORCL leads by 17 AIQ points, primarily on Value and Momentum.
Competitive: 4 of 6 evidence groups support ORCL, and its current signal state is conflicted.
Oracle Corporation
Datadog, Inc.
The Algovestiq AIQ Score currently favors ORCL over DDOG, 59 versus 42 as of Sep 2, 2026. ORCL's advantage is driven primarily by stronger value and momentum, while DDOG holds the stronger risk resilience profile. ORCL also shows the stronger technical structure relative to its 50-day moving average. 4 of 6 covered evidence groups favor ORCL today, and the comparison is rated Competitive on stability: the leader is throwing conflicting signals. ORCL lead: Stable — the AIQ differential has held near 17 points over 30 sessions.
Compare Oracle Corporation and Datadog, Inc. across the Algovestiq AIQ Score, valuation, quality, momentum, risk, technicals and analyst expectations.
AIQ Factor Divergence
Where the two separate, on the four dimensions behind the AIQ Score. Bars read outward from a shared zero: further from the centre is a wider gap.
- Value30%61 vs 24ORCL +37
- Momentum25%60 vs 41ORCL +19
- Risk Resilience15%29 vs 46DDOG +17
- Quality30%70 vs 60ORCL +10
4 of 6 evidence groups favor ORCL. ORCL’s edge is concentrated in value and momentum; DDOG keeps a meaningful risk resilience edge.
What changed since the last close
Latest scored session 2026-09-01, compared against the prior scored session 2026-08-31.
No factor moved materially.
No new signals fired.
No factor moved materially.
No new signals fired.
ORCL's lead was unchanged in the latest snapshot.
Deeper signal detail for each name lives on its own signals page — ORCL and DDOG both carry a full feed there.
The central trade-off
ORCL (Oracle Corporation): the stronger current systematic profile, led by value and momentum.
DDOG (Datadog, Inc.): the counter-case, on risk resilience, technicals — but at materially higher volatility, 96% against 41.5%.
Which one fits your objective
The same two names rank differently depending on what you are optimizing for. All six reads are shown at once — none of them is hidden behind a toggle.
Balanced
ORCLORCL on the overall AIQ Score, which weights Quality and Value at 30% each.
Growth
ORCLORCL on combined revenue and EPS growth.
Value
ORCLORCL on the peer-relative Value factor, by 37 points.
Momentum
ORCLORCL on the Momentum factor, by 19 points.
Lower downside
DDOGDDOG on Risk Resilience, by 17 points.
Analyst upside
ORCLORCL on implied upside to the consensus price target.
AIQ vs Wall Street
Where the systematic read and the analyst consensus line up — and where they do not.
| Measure | ORCL | DDOG | Note |
|---|---|---|---|
| Implied upside to target | +65.7% | +18.7% | ORCL has more room |
| Target dispersion | +95.8% | +72.4% | Lower is tighter analyst agreement |
| Consensus | Buy | Buy | Context, not a primary driver |
| Analysts covering | 20 | 30 | Higher coverage generally improves confidence |
Analyst targets are expectations, not predictions. Dispersion matters as much as the midpoint.
AIQ Agreement Matrix
4 of 6 covered evidence groups favor ORCL. A wide gap backed by one group is a weaker case than a narrow gap backed by five.
| Evidence group | Favors | Reading |
|---|---|---|
| AIQ Score | ORCL | 59 vs 42 |
| Fundamentals | ORCLon balance | revenue growth 11.6% vs 11.4%; EPS growth 14.8% vs -20%; ROE 50.6% vs 4.6%; gross margin 65.8% vs 79.5% — ORCL takes 2 of 3 decided legs, not all of them |
| Valuation | ORCL | Value 61 vs 24 |
| Technicals | DDOG | Price vs 50-day 2.8% vs -15.7%; vs 200-day -12.4% vs 34.9% |
| Risk Resilience | DDOG | Risk Resilience 29 vs 46 |
| Analyst expectations | ORCL | Target upside 65.7% vs 18.7% |
✓ agrees with the overall verdict · ✕ points the other way. Groups marked “not covered” lack data on one or both of ORCL and DDOG and are excluded from the count.
AIQ Decision Stability
The two are close enough that your objective, not the score, should decide.
- The AIQ gap is wide at 17 points. (supports the conclusion holding)
- The lead has been steady session to session. (supports the conclusion holding)
- The leader is throwing conflicting signals. (argues the conclusion is provisional)
- Analyst targets on the leader are widely dispersed. (argues the conclusion is provisional)
Stability combines the score gap, how broadly the evidence agrees, how steady the lead has been across daily snapshots, the current signal state on both names, and analyst dispersion on ORCL.
How the comparison changed
120 daily snapshots · Apr 20 – Sep 1ORCL lead: Stable — the AIQ differential has held near 17 points over 30 sessions.
- Today
- ORCL +17
- 59 vs 42
- 7 sessions ago
- ORCL +15
- 58 vs 43
- 30 sessions ago
- ORCL +16
- 62 vs 46
- 90 sessions ago
- DDOG +1
- 45 vs 46
The lead changed hands once in this window, most recently on Jun 26 when DDOG moved ahead of ORCL.
AIQ Signal Divergence
Only the signals that bear on the head-to-head. A conflicted name is carrying bullish and bearish rules at the same time — the technical evidence is not pointing one way.
1 bullish / 1 bearish / 1 neutral, conflicted
- Death Cross Active — bearish, trend, long horizon (20.86%)
- ATR Expansion - Breakout Mode — neutral, volatility, short horizon (4.22%)
- MACD Bullish Crossover — bullish, momentum, short horizon
1 bullish / 1 bearish / 1 neutral, conflicted
- Golden Cross Active — bullish, trend, long horizon (42.07%)
- ATR Expansion - Breakout Mode — neutral, volatility, short horizon (5.92%)
- MACD Bearish Crossover — bearish, momentum, short horizon
ORCL leads the comparison while carrying a conflicted signal state, which is one reason the stability rating is not higher.
Price vs model alignment
Whether the latest session's price move confirms what the model did over the same session, or contradicts it.
Neither the price nor the AIQ Score moved enough in the latest session to confirm or contradict the other (price +2.48%, AIQ 0 points).
Neither the price nor the AIQ Score moved enough in the latest session to confirm or contradict the other (price -5.99%, AIQ 0 points).
What would flip this result
A state, not a forecast. These are the specific, observable changes that would reverse the verdict — not a price prediction.
- 1DDOG closes the Value gap — currently 37 points behind, the largest single contributor to ORCL's edge.
- 2DDOG's MACD Bearish Crossover resolves — a bearish momentum rule currently active against it.
- 3ORCL's conflicting signal state resolves bearish — it currently carries 1 bullish and 1 bearish rules at once.
- 4A regime shift changes factor weighting — the composite weights Quality and Value at 30% each, so a rotation toward either would move the result most.
The full evidence
Every number behind the verdict. The leader is called above each group so you are not left to solve it from the table.
Fundamentals
ORCL leads on balance| Metric | ORCL | DDOG |
|---|---|---|
| Revenue growth (YoY) | 11.6% | 11.4% |
| EPS growth (YoY) | 14.8% | -20% |
| Gross margin | 65.8% | 79.5% |
| Operating margin | 30.8% | 0.4% |
| Return on equity | 50.6% | 4.6% |
| Debt to equity | 3.67 | 0.29 |
Technicals
DDOG has the stronger structure| Metric | ORCL | DDOG |
|---|---|---|
| RSI (14) | 53.8 | 44.3 |
| ADX (14) | 15.4 | 15.3 |
| Price vs 50-day | 2.8% | -15.7% |
| Price vs 200-day | -12.4% | 34.9% |
| Volatility (1M, annualized) | 41.5% | 96% |
Risk
DDOG is the more resilient| Metric | ORCL | DDOG |
|---|---|---|
| Beta | 2.02 | 1.17 |
| Sharpe ratio | -0.45 | 1.03 |
| Sortino ratio | -0.93 | 1.76 |
| Max drawdown | -65% | -48.6% |
| Current drawdown | -54.6% | -17.7% |
| Annualized volatility | 67.5% | 68.9% |
| Value at risk (95%) | -5.8% | -5.1% |
Straight answers
Each answer is regenerated from the current snapshot, not written once and left to age.
Which is better, ORCL or DDOG?
On the Algovestiq AIQ Score, ORCL is the stronger of the two as of Sep 2, 2026, scoring 59 against DDOG's 42. The edge comes from value and momentum. DDOG is not without a case — it holds the better risk resilience profile, which matters more if that is the objective you are optimizing for. This is a systematic score, not a recommendation: it ranks the two on the same evidence, it does not know your holding period or tax position.
Is ORCL or DDOG the better buy right now?
ORCL carries the stronger systematic profile as of Sep 2, 2026, and the comparison is rated Competitive — 4 of 6 covered evidence groups agree. A Competitive rating means the two are close enough that your objective, not the score, should decide.
Why does the AIQ Score favor ORCL over DDOG?
The composite weights Quality at 30%, Value at 30%, Momentum at 25% and Risk Resilience at 15%. ORCL leads Value by 37 points; ORCL leads Momentum by 19 points; DDOG leads Risk Resilience by 17 points. Where the two split, the factor with the larger weight carries the result.
Which has more analyst upside, ORCL or DDOG?
Analyst price targets imply +65.7% upside for ORCL and +18.7% for DDOG, so the Street currently favors ORCL. The model and the Street agree here, which is a broader base of evidence than either alone. Analyst targets are expectations, not predictions, and dispersion matters as much as the midpoint.
Which is better value, ORCL or DDOG?
ORCL is the better-valued of the two on the peer-relative Value factor. ORCL on the peer-relative Value factor, by 37 points. The Value factor reads valuation relative to sector peers and to the company's own fundamental quality, so it is not the same as simply having the lower multiple.
Which has stronger growth, ORCL or DDOG?
ORCL on combined revenue and EPS growth. Growth here is measured on reported revenue and earnings, not on forward estimates — it describes what the businesses have delivered, not what the Street expects next.
Which has stronger momentum, ORCL or DDOG?
ORCL on the Momentum factor, by 19 points. Momentum carries 25% of the AIQ composite. It has documented persistence over three- to twelve-month horizons, which makes it a timing input rather than a reason to hold something indefinitely.
Which is riskier, ORCL or DDOG?
DDOG is the more resilient of the two, so the other name carries the higher downside risk. DDOG on Risk Resilience, by 17 points. The Risk Resilience factor weights 15% of the composite; position sizing usually responds to it more usefully than the buy/avoid decision does.
Is ORCL more profitable than DDOG?
The profitability evidence is mixed: gross margin 65.8% vs 79.5%; operating margin 30.8% vs 0.4%; roe 50.6% vs 4.6%. Each name leads on one measure, and there is no single profitability composite that resolves the split — which of the two reads as "more profitable" depends on whether you weight pricing power or operating leverage.
Is ORCL's lead over DDOG getting stronger or weaker?
ORCL lead: Stable — the AIQ differential has held near 17 points over 30 sessions. This is measured from 120 daily comparison snapshots between 2026-04-20 and 2026-09-01. The lead has changed hands once in that window, most recently on 2026-06-26, when DDOG moved ahead of ORCL.
What would change the ORCL vs DDOG verdict?
The result is a state, not a forecast, so it changes when the underlying evidence changes. Concretely: DDOG closes the Value gap — currently 37 points behind, the largest single contributor to ORCL's edge; DDOG's MACD Bearish Crossover resolves — a bearish momentum rule currently active against it; ORCL's conflicting signal state resolves bearish — it currently carries 1 bullish and 1 bearish rules at once; a regime shift changes factor weighting — the composite weights Quality and Value at 30% each, so a rotation toward either would move the result most.
What do the current signals say about ORCL and DDOG?
ORCL: 1 bullish / 1 bearish / 1 neutral, conflicted. DDOG: 1 bullish / 1 bearish / 1 neutral, conflicted. A conflicted state means bullish and bearish rules are active on the same name at once — the technical evidence is not pointing one way, and a decision taken on it carries more timing risk. The most decision-relevant rule on ORCL is Death Cross Active (bearish, long horizon). On DDOG it is Golden Cross Active (bullish, long horizon).
Compare ORCL and DDOG with others
How this comparison is scored
The Algovestiq AIQ Score composites four factors — Quality (30%), Value (30%), Momentum (25%) and Risk (15%). Sentiment is reported separately as SentimentPulse and is not folded into the composite. Scores refresh every trading day, and this page regenerates from the latest snapshot rather than being written once.
The verdict names a leader, states how broadly six independent evidence groups agree, and rates how durable that conclusion is given the score gap, its recent trajectory and the current signal state on both names.
How to use side-by-side comparison →This comparison is informational and educational, not investment advice. AIQ scores update daily; re-check after earnings, guidance or macro data that materially changes either name’s factor profile.