Compare STM & DDOG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Current Price
| Metric | STM | DDOG |
|---|---|---|
| Founded | 1987 | 2010 |
| Country | Netherlands | United States |
| Employees | N/A | N/A |
| Industry | Semiconductors | Computer Software: Prepackaged Software |
| Sector | Technology | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 60.2B | 71.2B |
| IPO Year | 1996 | 2019 |
| Metric | STM | DDOG |
|---|---|---|
| Price | $49.49 | $227.51 |
| Analyst Decision | Strong Buy | Strong Buy |
| Analyst Count | 4 | 34 |
| Target Price | $47.00 | ★ $180.12 |
| AVG Volume (30 Days) | ★ 8.7M | 5.0M |
| Earning Date | 04-23-2026 | 05-07-2026 |
| Dividend Yield | ★ 0.61% | N/A |
| EPS Growth | ★ N/A | N/A |
| EPS | N/A | ★ 0.27 |
| Revenue | N/A | ★ $3,427,158,000.00 |
| Revenue This Year | $16.76 | $22.55 |
| Revenue Next Year | $12.40 | $19.45 |
| P/E Ratio | ★ $187.61 | $872.67 |
| Revenue Growth | N/A | ★ 27.68 |
| 52 Week Low | $21.11 | $98.01 |
| 52 Week High | $81.42 | $292.72 |
| Indicator | STM | DDOG |
|---|---|---|
| Relative Strength Index (RSI) | 36.77 | 40.87 |
| Support Level | $47.88 | $219.02 |
| Resistance Level | $57.04 | $282.71 |
| Average True Range (ATR) | 1.69 | 13.32 |
| MACD | 0.10 | -3.30 |
| Stochastic Oscillator | 6.86 | 3.59 |
A merger between Italian firm SGS Microelettronica and the nonmilitary business of Thomson Semiconducteurs in France formed STMicroelectronics in 1987. STMicroelectronics is a leader in a variety of semiconductor products, including analog chips, discrete power semiconductors, microcontrollers, and sensors. It is an especially prominent chip supplier to the industrial and automotive industries.
Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, enables clients to monitor and analyze their entire information technology infrastructure, from servers to applications and Python scripts. Datadog's platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to utilize it for a variety of applications throughout their businesses to ensure uptime and latency objectives.