Palantir and Snowflake Provide the Backbone of Agentic AI but Which Is Better?

Palantir and Snowflake just reported quarters that force a real choice between two competing visions of how agentic AI reaches enterprise workflows, and the numbers reveal something surprising about which model actually holds up under pressure.

Published August 21, 2026, 7:45am ET · 2 min read

A dark blue and black graphic comparing Palantir and Snowflake. On the left is the white Palantir logo, 'PALANTIR', and 'NASDAQ: PLTR', with glowing purple and blue stock charts below. On the right is the white Snowflake logo, 'SNOWFLAKE', and 'NYSE: SNOW', with glowing cyan and blue stock charts below. A large, golden, glowing 'Vs.' with lightning bolts and sparks is centered between the two companies. A '24/7 WALL ST' logo is in the bottom left corner.
This graphic illustrates the competitive landscape between Palantir (PLTR) and Snowflake (SNOW) as they battle for influence in the agentic AI sector. © 24/7 Wall St.

Palantir (NASDAQ: PLTR | PLTR Price Prediction) and Snowflake (NYSE: SNOW) both just reported quarters that reframed how agentic AI actually reaches enterprises. Palantir sells operational control over workflows. Snowflake sells the governed data plane where agents run. Their results make sense to compare now because AI capital is rotating from GPUs into the software layer that turns tokens into revenue.

Sovereign AI Powers Palantir. Cortex Code Reignites Snowflake.

Palantir put up numbers that look uncomfortable for skeptics. Revenue reached $1.94 billion, up 92.83% year over year, with EPS of $0.41 against a $0.28 consensus. U.S. commercial revenue jumped 149% to $764 million, driven by AIP deployments. Alex Karp framed the strategy bluntly: “Demand for AI sovereignty has now been unleashed.” That is the whole thesis in one line.

Snowflake told a different, more measured story. Product revenue hit $1.33 billion, growing 34%, its strongest sequential dollar gain ever. Cortex Code (COCO) is now live in more than 7,100 accounts, and Snowflake Intelligence accounts more than doubled quarter over quarter. Sridhar Ramaswamy called it a “milestone quarter” and positioned the platform as “the control plane for the Agentic Enterprise.”

Business Driver Palantir Snowflake
Growth Engine AIP, sovereign AI, ontology Cortex Code, Snowflake Intelligence
GAAP Operating Margin 47% negative
Net Retention 157% 126%

Closed Loop Versus Open Ecosystem

Palantir is doubling down on a closed, deeply integrated stack: ontology, agent orchestration, forward-deployed engineers, customer-controlled weights. The Rule of 40 score of 155% and free cash flow of $1.22 billion show what that concentration produces when it works.

Snowflake is doing the opposite. It signed a $6 billion multi-year AWS agreement, expanded its OpenAI relationship, brought SAP to general availability, and announced the Natoma acquisition to extend agents into Slack, JIRA, and Google Docs. Openness is the pitch. The cost is real: GAAP operating income was negative $326 million.

What I Want To See By Year End

For Palantir, I want to see whether U.S. commercial can hold anywhere near 134% guided growth while stock-based comp of $265 million a quarter stops eating so much of the story. For Snowflake, the tell is COCO monetization. Management already flagged AI products carry lower gross margin, so Cortex needs to keep pulling core platform consumption higher to justify the $308.93 average analyst target.

Palantir For Momentum, Snowflake For Patience

You are really picking a temperament here. Palantir looks like the better pure momentum vehicle after a 31.13% one-month move, though at 68x price-to-sales the valuation leaves little margin for error. Snowflake fits me better as a patient position: 64.93% higher over a year, still loss-making, but with an open ecosystem that could compound. Palantir looks tuned for near-term momentum, while Snowflake’s setup rewards patience as the agentic layer matures into 2027.

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Alex Sirois

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.

Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.

At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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