Palantir is an AI applications company with deep government roots, now pivoting aggressively to commercial enterprise AI — AIP boot camps, defense contracts, and a unique operational data platform that's hard to replicate. Its ~$290B market cap reflects a significant AI premium on ~$2.9B revenue. Snowflake is the premier cloud data warehouse, growing 30%+ annually but facing intensifying competition from Databricks and the hyperscalers — trading at ~50B market cap with ~$3.6B revenue. These are different bets: Palantir is an AI-driven government+enterprise platform; Snowflake is pure cloud data infrastructure. Both are already public (no IPO needed).
By the Numbers
Head-to-Head Comparison
PLTR vs SNOW — full side-by-side for investors comparing these two data companies in 2026.
| Metric | 🔵 Palantir (PLTR) | ❄️ Snowflake (SNOW) |
|---|---|---|
| Founded | 2003 | 2012 |
| Status | Public (NYSE:PLTR) | Public (NYSE:SNOW) |
| Market Cap (Apr 2026) | ~$290B ★ | ~$50B |
| Revenue FY2024/25 | $2.87B (FY2024) | ~$3.6B (FY2025) ★ |
| Revenue Growth | +36% Q4 2024 (accelerating) ★ | +29% (decelerating) |
| Primary Market | Government + Enterprise AI ★ | Enterprise data warehouse |
| Government Revenue | ~$1.6B (2024, 56% of total) ★ | Not primary segment |
| US Commercial Growth | +54% Q4 2024 (AIP-driven) ★ | +29% (FY2025) |
| AI Platform | Palantir AIP (on-premise LLM deployment) ★ | Snowflake Cortex AI |
| Flagship Products | Gotham, Foundry, AIP ★ | Data Cloud, Cortex, Iceberg |
| S&P 500 Member | Yes (added Sep 2024) ★ | No |
| GAAP Profitable | Yes (since Q3 2023, sustained) ★ | Improving; operating losses |
| Gross Margin | ~79% | ~75% (product) ★ |
| Customer Count | ~711 (Q4 2024) | ~10,600+ ★ |
| Revenue Model | Contract-based (multi-year) | Consumption-based (usage) ★ |
| Competition | Palantir is largely unique | Databricks, BigQuery, Redshift |
| CEO | Alex Karp | Sridhar Ramaswamy (since 2024) |
| HQ | Denver, CO | Bozeman, MT (San Mateo HQ) |
| P/S Multiple (est.) | ~100x — AI premium | ~14x — compressed from 2021 |
Product Platforms: AI Decision Intelligence vs Cloud Data Warehouse
Palantir and Snowflake live in adjacent layers of the enterprise data stack — understanding what each does clarifies why investors need to evaluate them differently.
Palantir — AI + Data Applications Stack
Snowflake — Cloud Data Infrastructure
Government vs Enterprise: The Core Strategic Divide
The most fundamental difference between Palantir and Snowflake is their primary customer — and that shapes everything downstream.
Palantir was built in the shadow of 9/11. Peter Thiel and Alex Karp founded the company with CIA venture funding (In-Q-Tel) to help intelligence agencies detect terrorist activity. Palantir Gotham — its government product — became the operating platform for counterterrorism operations at the NSA and CIA. It extended to military logistics (tracking equipment across Afghanistan), health response (COVID contact tracing for NHS), and law enforcement (predictive policing tools, now controversial). By 2024, approximately 44% of Palantir's revenue came from US and international government contracts.
This government base is Palantir's floor and its ceiling. It provides extremely sticky, high-margin revenue (governments renew multi-year contracts; switching costs are enormous). But government contracts grow slowly, require extensive security clearances, and can be lost to political changes or budget cuts. The company recognized this and began aggressively pushing into commercial enterprise via Foundry — and now AIP.
Snowflake has no significant government presence. It is a pure commercial enterprise product serving data teams at banks, retailers, healthcare companies, and tech firms. Its 10,600+ customers are primarily enterprises and mid-market companies that need to warehouse and query large volumes of structured data. Snowflake's go-to-market is land-and-expand: get a data team on Snowflake for one use case, then watch consumption grow as more data and more teams join. Net Revenue Retention of ~127% means every cohort grows significantly after signing.
The strategic question heading into 2027 is: can Palantir's AIP pivot replicate Snowflake-like commercial velocity? And can Snowflake defend its data infrastructure market against Databricks (which is converging the data warehouse and ML pipeline markets), BigQuery (Google's native solution), and increasingly capable Redshift (Amazon)? Both are real risks that explain the valuation divergence — Palantir trades at ~100x sales (AI premium), Snowflake at ~14x (infrastructure discount).
Investment Case: Bull & Bear
Palantir — Bull Case
Defense Moat AIP Acceleration S&P 500- AIP boot camp model is producing unprecedented commercial velocity — 43 new US commercial customers in Q4 2024 alone, +54% YoY growth
- US defense spending is structurally increasing — AI for national security is a category that Palantir created and that no competitor can easily enter
- GAAP profitable since Q3 2023 (rare among high-growth software) and S&P 500 inclusion drives institutional ownership stability
- Unique product — no direct competitor can replicate Palantir's combination of operational data integration + LLM deployment + classified environment capability
- AIP is potentially the right product at the right time: enterprises desperately want to use LLMs on internal data securely — AIP enables this without data leaving the enterprise
Snowflake — Bull Case
Data Cloud Moat Cortex AI Valuation Reset- Snowflake is embedded in thousands of enterprise data pipelines — switching costs are massive, not because Snowflake locks data in, but because migrating 10,000+ queries and jobs is expensive
- 127% NRR means every customer cohort grows significantly — a strong indicator of product-market fit and land-and-expand motion working
- Sridhar Ramaswamy (former Google Ads head) brings focus and execution credibility after the chaotic Frank Slootman era
- Iceberg + open table formats position Snowflake as data-agnostic infrastructure — reducing fears that it's a closed silo and competing with Databricks on openness
- Trading at ~14x revenue (vs Databricks at likely 20x+ at IPO) — meaningful upside if growth reaccelerates or margins improve
Palantir — Bear Case
100x Revenue Multiple CEO Concentration- At ~$290B market cap on $2.9B revenue, Palantir trades at ~100x trailing sales — one of the highest multiples in software; any growth deceleration destroys the thesis
- Alex Karp is the brand and the storyteller — his political statements and unconventional persona are baked into the Palantir narrative; management concentration risk is real
- Commercial customer concentration: ~711 customers is an extremely thin base for a ~$290B company — it implies massive ACV per customer but also massive single-customer risk
- Government contract cyclicality: a change in administration, budget sequestration, or loss of key contracts could remove Palantir's revenue floor
Snowflake — Bear Case
Databricks Competition Hyperscaler Risk- Databricks is raising at $60B+ and converging the data warehouse + ML pipeline market — directly attacking Snowflake's core use cases with open source (Delta Lake, Apache Spark)
- Google BigQuery and Amazon Redshift are improving rapidly and are bundled into cloud contracts — hyperscalers can subsidize pricing to win workloads
- Revenue growth has decelerated from 100%+ in 2022 to ~29% in FY2025 — the growth story is compressing while competition intensifies
- CEO transition (Frank Slootman to Sridhar Ramaswamy in Feb 2024) creates execution uncertainty during a critical competitive period
The Verdict: AI Applications vs Data Infrastructure
Palantir is the bet on AI as operational decision intelligence. Defense contracts as the floor, AIP as the upside lever, and no real competitor in its specific lane. The risk is a $290B valuation that demands the AI narrative sustains for years without a hiccup. At 100x sales, the margin for error is near zero.
Snowflake is the bet on cloud data infrastructure as essential enterprise plumbing. Lower multiple, broader customer base, and a real moat from data gravity (enterprises don't move their data easily). The risk is Databricks eroding its market share faster than Cortex AI captures the AI workload growth.
Neither is cheap. But they're different risks: Palantir is an execution and valuation risk; Snowflake is a competitive moat risk. If you want AI-driven growth at a premium, PLTR. If you want durable infrastructure with more valuation room, SNOW.
Frequently Asked Questions
Track Palantir (PLTR) & Snowflake (SNOW)
Monitor earnings, analyst estimates, and data platform news for both companies. Free on TechStackIPO.
Palantir Profile Snowflake Profile