CFLT vs SNOW Stock Comparison: AI Score, Valuation, Performance and Upside
Confluent and Snowflake both provide cloud data infrastructure, but Confluent specializes in real-time data streaming built on Apache Kafka technology, enabling data to move continuously between systems, while Snowflake specializes in data warehousing and batch analytics, allowing enterprises to store and analyze large volumes of data at rest, with both increasingly relevant to feeding AI and machine learning pipelines.
Confluent offers focused exposure to the growing real-time data streaming category as a smaller, more specialized company, while Snowflake offers much larger scale as a broader data platform spanning storage, analytics, and AI tools. Consider whether you prefer Confluent's real-time streaming specialization or Snowflake's broader data platform scale.
CFLT and SNOW are closely matched — they split the tracked metrics evenly.
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.
- Want focused exposure to real-time data streaming, a critical and growing infrastructure category for AI
- Value Confluent's deep technical foundation in Apache Kafka, the industry-standard streaming technology
- Believe continued migration from self-managed Kafka to Confluent's managed cloud platform will drive growth
- Are comfortable with a smaller, more specialized company than Snowflake's broader platform
- Want exposure to a much larger, broader data platform spanning storage, analytics, and AI/ML tools
- Value Snowflake's consumption-based pricing model that scales directly with customer data usage
- Believe Snowflake's growing AI and machine learning capabilities will drive additional platform monetization
- Prefer broader platform scale over a more narrowly focused real-time streaming specialist
| Metric | CFLT | SNOW |
|---|---|---|
| AI scorei | N/A | 37.2 |
| AI ranki | N/A | #1520 |
| Latest closei | N/A | $332.43 |
| 1M returni | N/A | +2.28% |
| 6M returni | N/A | +89.53% |
| 1Y returni | N/A | +49.67% |
How much would $10,000 be worth today if invested at the start of each period, with all dividends reinvested?
| Period | CFLT | SNOW |
|---|---|---|
| 1Y ago | N/A | $14.97K (+49.7%) started 2025-09-18 |
| 5Y ago | N/A | $10.72K (+7.2%) started 2021-09-20 |
| 10Y ago | N/A | $13.09K (+30.9%) started 2020-09-16 |
Hypothetical — past performance does not guarantee future results.
| Metric | CFLT | SNOW |
|---|---|---|
| Market capi | N/A | $106B |
| Trailing P/Ei | N/A | N/A |
| Forward P/Ei | N/A | 113.08 |
| Price/Salesi | 9.54 | N/A |
| EV/Revenuei | N/A | 21.99 |
| Analyst targeti | N/A | $331.66 |
| Target upsidei | N/A | +8.44% |
| Metric | CFLT | SNOW |
|---|---|---|
| Revenue growthi | N/A | 33.50% |
| Earnings growthi | N/A | N/A |
| EPS growthi | N/A | N/A |
| FCF margini | N/A | +34.56% |
| Operating margini | N/A | -22.17% |
| Profit margini | N/A | -23.79% |
| ROIC proxyi | N/A | -54.87% |
| Return on equityi | N/A | -54.87% |
| Dividend yieldi | N/A | N/A |
| Payout ratioi | N/A | 0.00% |
| Dividend growth streaki | N/A | N/A |
| Betai | -0.12 | 1.31 |
| Debt/equityi | N/A | 142.91 |
| Current ratioi | N/A | 1.05 |
| Quick ratioi | N/A | 0.94 |
Lower drawdown and smaller single-period drops generally indicate a smoother ride, though they do not guarantee lower future risk.
| Period | Metric | CFLT | SNOW |
|---|---|---|---|
| 1Y | Growthi | N/A | +49.67% |
| CAGRi | N/A | +49.71% | |
| Volatilityi | N/A | 65.15% | |
| Sharpe ratioi | N/A | 0.86 | |
| Sortino ratioi | N/A | 1.52 | |
| Max drawdowni | N/A | 56.30% | |
| Current drawdowni | N/A | 6.74% | |
| Avg drawdowni | N/A | 19.54% | |
| Ulcer Indexi | N/A | 25.90% | |
| Max daily dropi | N/A | 11.83% | |
| Max wkly dropi | N/A | 23.48% | |
| 5Y | Growthi | N/A | +7.21% |
| CAGRi | N/A | +1.40% | |
| Volatilityi | N/A | 62.41% | |
| Sharpe ratioi | N/A | 0.25 | |
| Sortino ratioi | N/A | 0.39 | |
| Max drawdowni | N/A | 72.99% | |
| Current drawdowni | N/A | 17.28% | |
| Avg drawdowni | N/A | 51.97% | |
| Ulcer Indexi | N/A | 54.53% | |
| Max daily dropi | N/A | 18.14% | |
| Max wkly dropi | N/A | 28.56% | |
| 10Y | Growthi | N/A | +30.91% |
| CAGRi | N/A | +4.59% | |
| Volatilityi | N/A | 62.19% | |
| Sharpe ratioi | N/A | 0.30 | |
| Sortino ratioi | N/A | 0.47 | |
| Max drawdowni | N/A | 72.99% | |
| Current drawdowni | N/A | 17.28% | |
| Avg drawdowni | N/A | 48.04% | |
| Ulcer Indexi | N/A | 51.27% | |
| Max daily dropi | N/A | 18.14% | |
| Max wkly dropi | N/A | 28.56% |
| Category | CFLT | SNOW |
|---|---|---|
| Company | Confluent, Inc. | Snowflake Inc. |
| Sector | Enterprise SaaS | Technology |
| Industry | N/A | Software - Application |
| Core business | A data streaming platform company built around Apache Kafka technology, enabling enterprises to move and process data in real time across applications, which is increasingly important for feeding data into AI and machine learning pipelines. | A cloud-based data platform company providing data warehousing, data sharing, and increasingly AI and machine learning tools that allow enterprises across all industries to store, manage, and analyze large volumes of data. |
| Investor focus | Cloud consumption-based revenue growth, customer migration from self-managed Kafka to Confluent's managed cloud platform, and net revenue retention. | Consumption-based revenue growth, net revenue retention, and adoption of AI and machine learning features on the platform. |
- Strong position in real-time data streaming, a critical and growing infrastructure category for AI and modern application development
- Built on Apache Kafka, the de facto industry standard for data streaming, with deep technical expertise and community trust
- Growing cloud consumption revenue as customers migrate from self-managed Kafka deployments to Confluent's managed platform
- Much larger scale and broader data platform than Confluent, spanning storage, analytics, and AI/ML tools
- Consumption-based pricing model aligns revenue growth directly with customer data usage and platform value
- Growing AI and machine learning capabilities create additional monetization opportunities on top of core data storage and analytics
- Smaller scale than Snowflake, with revenue growth dependent on continued migration from free, self-managed Kafka alternatives
- Faces competition from cloud hyperscalers' own native data streaming services
- Path to sustained profitability remains a key area of investor focus given continued growth investment
- Consumption-based revenue model can be more volatile than fixed subscription revenue, tied to customer usage patterns
- Faces intense competition from cloud hyperscalers' own native data platform offerings and other data cloud competitors, including real-time streaming needs addressed by Confluent
- Path to sustained profitability remains a key area of investor focus given continued growth investment
Want deeper AI forecasts?
This comparison page is public and free forever. Subscribers can unlock saved watchlists, full AI rankings, detailed forecasts, and interactive analysis tools.
Full valuation workup with AI Score, Monte Carlo forecast, and bull/bear case — free preview, premium data from $3.99.