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DB vs DDOG Comparison
Compare DB & DDOG Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
Current Price
Company Overview
Basic Information| Metric | DB | DDOG |
|---|---|---|
| Founded | 1870 | 2010 |
| Country | Germany | United States |
| Employees | 89879 | N/A |
| Industry | Major Banks | Computer Software: Prepackaged Software |
| Sector | Finance | Technology |
| Exchange | Nasdaq | Nasdaq |
| Market Cap | 59.5B | 71.2B |
| IPO Year | N/A | 2019 |
Fundamental Metrics
Financial Performance| Metric | DB | DDOG |
|---|---|---|
| Price | $31.72 | $200.25 |
| Analyst Decision | Hold | Strong Buy |
| Analyst Count | 4 | 34 |
| Target Price | N/A | ★ $180.12 |
| AVG Volume (30 Days) | 3.0M | ★ 5.6M |
| Earning Date | 04-29-2026 | 05-07-2026 |
| Dividend Yield | ★ 1.84% | N/A |
| EPS Growth | ★ N/A | N/A |
| EPS | N/A | ★ 0.15 |
| Revenue | N/A | ★ $3,427,158,000.00 |
| Revenue This Year | $11.98 | $22.55 |
| Revenue Next Year | $4.10 | $19.45 |
| P/E Ratio | ★ $9.62 | $1,338.00 |
| Revenue Growth | N/A | ★ 27.68 |
| 52 Week Low | $27.13 | $98.01 |
| 52 Week High | $40.43 | $203.58 |
Technical Indicators
Market Signals| Indicator | DB | DDOG |
|---|---|---|
| Relative Strength Index (RSI) | 50.31 | 86.07 |
| Support Level | $30.13 | $151.68 |
| Resistance Level | $37.31 | $201.69 |
| Average True Range (ATR) | 0.55 | 7.80 |
| MACD | 0.00 | 7.41 |
| Stochastic Oscillator | 59.85 | 95.59 |
Price Performance
Historical ComparisonAbout DB Deutsche Bank AG
Deutsche Bank is a universal bank operating on a global scale. The bank offers corporate, retail, investment banking, private banking, and asset management to its clients.
About DDOG Datadog Inc.
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.