LIVE
SNOW
Snowflake Inc. · Technology - Cloud Data Platform
$232.29
+37.00% this month
VERSUS
⟷
COMPARE
CRM
Databricks (Private — No Direct Public Investment Available) · Technology - Unified Data & AI Platform
$151.78
-15.41% this month
Scoreboard verdict
Across AI score, momentum, valuation, upside, operating margin
SNOW
1
CRM
3
Comparison scoreboard
CRM LEADS 3/5AI Score
SNOW 25.7
CRM ✓40.6
1Y Return
SNOW ✓+9.53%
CRM -42.24%
Fwd P/E
SNOW 86.54
CRM ✓9.80
Target Up.
SNOW +25.58%
CRM ✓+65.72%
Op. Margin
SNOW N/A
CRM 21.80%
Metrics last refreshed: 6/22/2026
Quick take
SNOW vs Databricks Comparison: AI Score, Valuation, Performance and Upside
SNOW (Snowflake) and Databricks are the two leading enterprise data platform companies, competing intensely for enterprise data infrastructure spend — Snowflake with its cloud-native multi-cloud data warehouse and growing AI capabilities (publicly traded, consumption-based revenue model), versus Databricks with its open-source Lakehouse platform combining data engineering, analytics, and ML (private company, not yet publicly investable). Both target the same enterprise data stack, making this the most direct head-to-head competition in enterprise data infrastructure.
Snowflake vs Databricks is the defining battle in enterprise data infrastructure — proprietary multi-cloud data warehousing with enterprise-grade data sharing and Cortex AI capabilities (Snowflake, publicly traded, high NRR consumption model) versus open-source Lakehouse architecture with native ML/AI tooling built by Apache Spark's creators (Databricks, private, $1.6B+ ARR growing 50%+ annually) — the question is which data architecture wins: Snowflake's governed proprietary cloud platform or Databricks' open-source Lakehouse unifying data and AI.
Live analysis · updated 6/22/2026
CRM holds the edge across 3 of 5 key metrics in this comparison. SNOW has delivered stronger 1-year price return (+9.53% vs -42.24%), though CRM trades at the lower forward P/E (9.80x vs 86.54x). Analyst consensus implies meaningfully more upside for CRM (+65.72%) than for SNOW (+25.58%).
Normalized 1Y performance
SNOW
CRM
Recent returns
SNOW
CRM
Analyst price targets & sentiment
SNOW · 48 analysts
STRONG BUYHOLDSTRONG SELL
Strong Buy (1.5/5.0)
Price target range
analyst low$110.00
analyst high$500.00
analyst mean$291.70
current price$232.29
+25.6% upside to analyst mean
CRM · 52 analysts
STRONG BUYHOLDSTRONG SELL
Buy (1.7/5.0)
Price target range
analyst low$225.00
analyst high$442.00
analyst mean$251.53
current price$151.78
+65.7% upside to analyst mean
Who should consider this stock?
SNOW may suit investors who:
- →Want public market exposure to enterprise cloud data platform growth — Snowflake's consumption-based model means revenue grows as customers process more data, and the multi-cloud data sharing network creates durable enterprise value
- →Value Snowflake's proven enterprise sales motion, high NRR (historically 130%+), and governance/security capabilities as differentiated for regulated industries (financial services, healthcare) that require strict data controls
- →Believe Snowflake's Cortex AI integration positions the company to capture AI analytics workloads as enterprises seek AI-powered insights on their existing Snowflake data without data movement complexity
Databricks matters to SNOW investors because:
- →Databricks is Snowflake's most significant competitive threat — Databricks has expanded from data engineering into analytics (formerly Snowflake's primary domain), directly competing for every enterprise data platform contract
- →Databricks' potential IPO would be a major market event — when Databricks goes public, its valuation and growth trajectory will provide direct competitive context for Snowflake investors
- →Open-source Delta Lake and MLflow adoption as industry standards reduces switching costs away from Snowflake toward Databricks — enterprises that standardize data formats on Delta Lake find Databricks integration more natural
Performance & AI score
| Metric | SNOW | CRM |
|---|---|---|
| AI score | 25.7 | 40.6 |
| AI rank | #2711 | #1030 |
| Latest close | $232.29 | $151.78 |
| 1M return | +37.00% | -15.41% |
| 6M return | +7.40% | -41.20% |
| 1Y return | +9.53% | -42.24% |
$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 | SNOW | CRM |
|---|---|---|
| 1Y ago | $10.95K (+9.5%) started 2025-06-18 | $5.85K (-41.5%) started 2025-06-18 |
| 5Y ago | $9.31K (-6.9%) started 2021-06-18 | $6.3K (-37.0%) started 2021-06-21 |
| 10Y ago | $9.15K (-8.5%) started 2020-09-16 | $18.96K (+89.6%) started 2016-06-20 |
Hypothetical — past performance does not guarantee future results.
Valuation & upside potential
| Metric | SNOW | CRM |
|---|---|---|
| Market cap | $80.51B | $124.31B |
| Trailing P/E | N/A | 17.57 |
| Forward P/E | 86.54 | 9.80 |
| Price/Sales | 16.00 | 6.80 |
| EV/Revenue | 15.96 | 3.62 |
| Analyst target | $291.70 | $251.53 |
| Target upside | +25.58% | +65.72% |
Growth, profitability & risk
| Metric | SNOW | CRM |
|---|---|---|
| Revenue growth | 33.50% | 13.30% |
| Earnings growth | N/A | 52.20% |
| EPS growth | N/A | +52.20% |
| FCF margin | +34.56% | +38.65% |
| Operating margin | N/A | 21.80% |
| Profit margin | -23.79% | 18.73% |
| ROIC proxy | -54.87% | 16.91% |
| Return on equity | -54.87% | 16.91% |
| Dividend yield | 0.00% | 1.16% |
| Beta | 1.35 | 1.15 |
| Debt/equity | 142.91 | 124.28 |
| Current ratio | 1.05 | 0.79 |
| Quick ratio | 0.94 | 0.61 |
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
SNOW max drawdown56.30%
CRM max drawdown44.53%
SNOW max wkly drop23.48%
CRM max wkly drop15.16%
5Y risk snapshot
SNOW max drawdown72.99%
CRM max drawdown58.63%
SNOW max wkly drop28.56%
CRM max wkly drop23.19%
10Y risk snapshot
SNOW max drawdown72.99%
CRM max drawdown58.63%
SNOW max wkly drop28.56%
CRM max wkly drop23.19%
Performance metrics by period
| Period | Metric | SNOW | CRM |
|---|---|---|---|
| 1Y | Growth | +9.53% | -41.51% |
| CAGR | +9.54% | -41.56% | |
| Sharpe ratio | 0.38 | -1.33 | |
| Max drawdown | 56.30% | 44.53% | |
| Max daily drop | 11.83% | 8.69% | |
| Max wkly drop | 23.48% | 15.16% | |
| 5Y | Growth | -6.86% | -37.47% |
| CAGR | -1.41% | -8.98% | |
| Sharpe ratio | 0.21 | -0.19 | |
| Max drawdown | 72.99% | 58.63% | |
| Max daily drop | 18.14% | 19.74% | |
| Max wkly drop | 28.56% | 23.19% | |
| 10Y | Growth | -8.52% | +88.21% |
| CAGR | -1.54% | +6.53% | |
| Sharpe ratio | 0.21 | 0.23 | |
| Max drawdown | 72.99% | 58.63% | |
| Max daily drop | 18.14% | 19.74% | |
| Max wkly drop | 28.56% | 23.19% |
Business comparison
| Category | SNOW | CRM |
|---|---|---|
| Company | Snowflake Inc. | Databricks (Private — No Direct Public Investment Available) |
| Sector | Technology - Cloud Data Platform | Technology |
| Industry | N/A | Software - Application |
| Core business | Snowflake operates a cloud-based data platform providing data warehousing, data lakes, data sharing, and data application development capabilities. Snowflake's architecture separates compute from storage — customers pay for storage independently from compute (virtual warehouses), allowing elastic scaling of each. Snowflake runs on AWS, Azure, and Google Cloud, allowing customers to share data across cloud boundaries. Core products: Snowflake Data Cloud (data warehousing and analytics), Snowpark (developer framework for Python/Java/Scala workloads on Snowflake), Cortex AI (LLM-powered document processing and search within Snowflake), Marketplace (data sharing and data products), and Unistore (application development). Snowflake went public in September 2020 in one of the largest software IPOs in history. | Databricks is a private data and AI company (not publicly traded as of 2025) founded by the creators of Apache Spark at UC Berkeley. Databricks' Lakehouse platform combines data lakes (Apache Delta Lake — open-source format) with data warehouse capabilities, and adds machine learning and AI tooling (MLflow for ML lifecycle management, Unity Catalog for data governance). Databricks' architecture is built on open-source foundations creating broad ecosystem compatibility. Databricks serves data engineers, data scientists, and ML engineers running ETL pipelines, analytics, and AI/ML model training. Note: CRM (Salesforce) is used as the comparison symbol here since Databricks is private. Databricks was valued at approximately $62 billion in its 2024 funding round, with ARR reported at approximately $1.6B growing 50%+ year-over-year. |
| Investor focus | Investors track Snowflake's product revenue growth, net revenue retention rate (NRR — how much existing customers expand spending, historically 130%+), remaining performance obligations (RPO — contracted but not yet recognized revenue), and operating margin expansion trajectory as the business scales. | Since Databricks is private, public investors cannot directly invest. Exposure exists through investors in Databricks' private funding rounds (Tiger Global, Andreessen Horowitz, T. Rowe Price, Fidelity), or through enterprise data software proxies like Snowflake, Palantir, or Salesforce. Databricks has discussed a future IPO, which would be a major market event. |
SNOW strengths
- →Consumption-based revenue model creates strong growth as customers use more data — Snowflake charges for actual compute and storage consumed; as customers store more data and run more queries, revenue grows without new contract negotiations; high-value customers tend to consume more over time
- →Multi-cloud data sharing creates network effects — Snowflake's ability to share data across AWS, Azure, and GCP without data movement enables enterprise data ecosystems; as more companies share data on Snowflake, the platform becomes more valuable to others in the ecosystem
- →Cortex AI integration for LLM-powered data applications — Snowflake has integrated LLM capabilities into the data platform; enterprises can use AI on their Snowflake data without moving data to external AI services
CRM strengths
- →Open-source foundation (Delta Lake, MLflow) creates developer affinity and ecosystem lock-in through industry standardization — Databricks created industry-standard tools that tens of thousands of data engineers use; familiarity creates Databricks adoption even without direct sales
- →Native AI/ML capabilities built into the data platform — Databricks' heritage is machine learning (Spark ML, MLflow); AI and ML workloads run natively on Databricks without data movement; particularly valuable as enterprises build AI applications on their proprietary data
- →Lakehouse architecture bridges data engineering and analytics on a single platform — combining data lake storage economics with data warehouse query performance on open Delta Lake format; customers avoid maintaining separate systems for data engineering and analytics
Risks to watch — SNOW
- →Databricks competition is intensifying in every market segment — Databricks is growing rapidly, is well-funded, and has a growing portfolio (Delta Lake, MLflow, Unity Catalog) that directly competes with Snowflake across data engineering, analytics, and AI workloads
- →Consumption revenue creates volatility — unlike SaaS subscription revenue, Snowflake's consumption model means revenue varies with customer query volumes; customer optimization initiatives can surprise negatively
- →Gross margin pressure from compute infrastructure investment — Snowflake's business requires substantial cloud infrastructure; Snowflake must also invest in specialized hardware (GPUs for AI workloads) that affects margins
Risks to watch — CRM
- →Private company — no public market access until IPO — investors cannot easily acquire or exit Databricks positions; IPO timeline is uncertain
- →Snowflake, Google BigQuery, and Microsoft Fabric compete for every enterprise data deal — enterprise data platform selection is highly competitive; Databricks must continuously demonstrate differentiation
- →Open-source foundation creates risk of monetization fragmentation — Delta Lake and MLflow can be used without Databricks; large cloud vendors have implemented Delta Lake compatibility, partially commoditizing Databricks' technology
Frequently asked questions
Free public comparison
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.
Related comparisons
More comparisons
Browse all 1,000 comparisons →