Snowflake and Palantir Join Forces to Accelerate Enterprise AI Development

Snowflake partners with Palantir to speed up customers' AI projects - SiliconANGLE

Snowflake partners with Palantir to speed up customers' AI projects Snowflake Inc. is teaming up with Palantir Technologies Inc. to help joint customers build artificial intelligence applications faster. The collaboration, which was announced today, builds on a years-long partnership between the companies. They previously introduced a connector that enables customers to move data between their respective platforms. The companies' new collaboration focuses on two Palantir products called Foundry and AIP. Snowflake is integrating the offerings with its namesake cloud data platform, which enterprises use to store and analyze their business records. The integration is designed to help customers more efficiently manage the data they use to power their AI workloads. Foundry, the first Palantir product involved in the initiative, is a data management platform. It can collect records from a large number of systems and organize them in a standard format. From there, customers can visualize the data in graphs. Foundry also provides the ability to make information available to custom applications and run analyses using AI models. Companies that require more advanced AI features can use Foundry with AIP, the second Palantir product for which Snowflake has rolled out an integration. AIP can be used to automate business tasks with language models. It provides tools that ease development tasks such as finding the best neural network for a given automation initiative. Until now, joint Snowflake and Palantir customers had to copy their data between the companies' platforms. The integration introduced today removes that requirement. It thereby avoids the manual work and bandwidth costs associated with moving large volumes of data over the network. The integration makes use of Apache Iceberg, a data tablet format optimized for large information repositories. Snowflake's platform doesn't store Iceberg files directly. Instead, it accesses them from an external cloud storage environment managed by the customer. That arrangement removes the need to create a fresh copy of a company's Iceberg dataset and load it into Snowflake, which in turn reduces data duplication. "This partnership enables secure, high-volume data sharing and communication between systems without forcing customers to replicate or move their most sensitive data," Christian Kleinerman, Snowflake's vice president of product, wrote in a blog post today. According to the company, streamlining the way data is shared inside an organization also makes it easier for AI agents to use that data. "Agents need to be able to react immediately to the most up-to-date data for better decision-making," Kleinerman wrote. "Reducing data friction between Foundry and a customer's Snowflake data avoids the data silos, duplication and latency that can all hamper agentic AI."

Snowflake Poised For Major AI Driven Growth: Analyst - Snowflake (NYSE:SNOW)

Snowflake Inc (NYSE:SNOW) is gaining momentum as it sharpens its go-to-market strategy and scales its cloud platform to meet soaring enterprise demand for artificial intelligence solutions, driving stronger deal flow and deeper integration across industries. SNOW is building positive momentum. Find out why here. The company continues to expand its AI Data Cloud, with half of new customers using Snowflake for AI workloads and 25% engaging its AI capabilities weekly. It is a sign that its innovation engine and partnerships, are fueling long-term growth in the fast-evolving data infrastructure market. Also Read: Snowflake's Palantir Deal Is Key To Unlock Massive AI, Government Data Opportunities: Analyst Analyst Take Wedbush analyst Daniel Ives maintained Snowflake with an Outperform rating and raised the price forecast from $250 to $270. Ives cited accelerating momentum as the company fine-tunes its go-to-market strategy and scales its platform through stronger engineering, innovation, and marketing execution. The analyst said Snowflake still has significant room to expand as it integrates simplicity and scalability across its data cloud, positioning itself to capture a larger share of the AI market opportunity. He emphasized that Snowflake remains in the early stages of monetizing AI demand, with a growing share of its customer base leveraging the platform for advanced AI use cases. Ives commented that half of new customers now use Snowflake for AI-related workloads, while approximately 25% of existing organizations rely on Snowflake's AI capabilities on a weekly basis. Snowflake continues to enhance its Cortex platform, focusing on improving retrieval quality and unifying data early in the lifecycle to optimize workflows and drive efficiency, the analyst told. AI Despite facing intense competition in a multi-trillion-dollar AI and data infrastructure market, he believes Snowflake's "innovation engine" remains a major differentiator. Ives highlighted that enterprises are increasingly adopting Snowflake's easy-to-use AI products to streamline operations, boost productivity, and consolidate data workflows across cloud environments. The analyst said Snowflake is still in the early innings of modernizing data infrastructure for the generative AI era, with large enterprises across sectors turning to the platform for data preparation, analytics, and storage. The company continues to expand its data engine by combining analytical and transactional capabilities and allowing users to act on larger datasets that historically existed outside Snowflake's environment, he said. Ives noted that Snowflake's AI Data Cloud has evolved into a connected ecosystem of shared data applications, with thousands of customers securely collaborating via the Snowflake Marketplace. This ecosystem supports enterprise-grade performance and cross-industry data sharing, the analyst noted. Palantir Partnership Ives also pointed to Snowflake's strategic partnership with Palantir Technologies Inc (NYSE:PLTR) as a growth catalyst. The integration of Snowflake's Data Cloud with Palantir's Foundry and AIP platforms enables faster analytics, stronger data pipelines, and more trusted AI-driven applications for commercial and federal clients,as per Ives. The analyst called Snowflake a "second-derivative winner" of the AI boom and one of Wedbush's top picks in its AI 30 list, expecting it to capitalize on growing AI adoption over the next 12 to 18 months. Ives projected third-quarter revenue of $1.18 billion and EPS of $0.35. He projected fiscal 2026 revenue of $4.61 billion and EPS of $1.30. SNOW Price Action: Snowflake shares were up 1.20% at $243.64 at the time of publication on Monday. The stock is approaching its 52-week high of $255.39, according to Benzinga Pro data. Read Next: CoreWeave's Top Brass Just Sold $1 Billion In Stock After 250% Rally Photo by Tada Images via Shutterstock SNOWSnowflake Inc$244.021.36%OverviewPLTRPalantir Technologies Inc$182.372.37%Market News and Data brought to you by Benzinga APIs

Snowflake's Palantir Deal Is Key To Unlock Massive AI, Government Data Opportunities: Analyst - Snowflake (NYSE:SNOW)

Snowflake Inc. (NYSE:SNOW) deepened its artificial intelligence (AI) push with a new partnership with Palantir Technologies Inc. (NYSE:PLTR), aiming to simplify and accelerate enterprise AI development across industries. SNOW is trading at elevated levels. Get the inside scoop here The deal positions Snowflake to capture fresh growth opportunities, especially in U.S. federal markets, as demand for seamless data sharing and AI integration surges. Rosenblatt analyst Blair Abernethy maintained a Buy rating on Snowflake with a price forecast of $250. Also Read: Snowflake Teams Up With Palantir To Make AI Work Smarter Abernethy said Snowflake strengthened its position by forming a strategic partnership with Palantir Technologies Inc. (NYSE:PLTR) to integrate Snowflake's Data Cloud with Palantir's Artificial Intelligence Platform (AIP) and Foundry. The analyst noted that the integration will enable joint customers to exchange data bidirectionally between the two systems, helping to cut the time, cost, and complexity surrounding with developing and deploying AI applications and agents. He said this collaboration could enhance Snowflake's go-to-market position, particularly in the U.S. federal sector, which currently contributes about 1% of its consumption revenue. Abernethy highlighted that Databricks formed a similar partnership with Palantir in March 2025. The price forecast reflected about 14.5 times EV/S on his fiscal 2027-28 estimates. Price Action Snowflake operates in the rapidly evolving IT Services sector, with a market cap of $80.24 billion, reflecting strong investor confidence in its growth potential. The stock has experienced significant volatility over the past year, with its 52-week range of $113.23 to $255.39 indicating a notable rebound from its low, suggesting robust demand for its cloud-based data solutions amidst increasing global digital transformation efforts. SNOW shares are up 0.27% at $240.72 at the last check on Friday. Read Next: CoreWeave's Top Brass Just Sold $1 Billion In Stock After 250% Rally Photo by Grand Warszawski via Shutterstock SNOWSnowflake Inc$240.750.29%OverviewPLTRPalantir Technologies Inc$178.290.10%Market News and Data brought to you by Benzinga APIs

Snowflake Teams Up With Palantir To Make AI Work Smarter - Snowflake (NYSE:SNOW)

Snowflake Inc. (NYSE:SNOW) shares are trading higher after the company disclosed a partnership with Palantir Technologies Inc. (NASDAQ:PLTR). Deal Details According to the agreement, Snowflake intends to integrate its AI Data Cloud with Palantir Foundry and the Palantir Artificial Intelligence Platform. Through enhanced integration between Foundry and Snowflake Iceberg Tables, customers will gain seamless, bidirectional data access without duplication. Also Read: Snowflake Partners With Peraton, Builds AI Fraud Detection Tools To Protect Taxpayer Dollars Notably, Snowflake and Palantir customer Eaton is using the partnership to create an AI-ready data foundation that unifies information across systems, eliminates duplication, and strengthens governance. The integration will enable Eaton to deploy AI agents more quickly, thereby boosting customer lifetime value, reducing churn, and lowering costs and complexity. Management Commentary Mike Gannon, chief revenue officer at Snowflake, said, "With this partnership, we're providing our customers with the solutions they need today to be at the forefront of AI innovation, while also preparing them for the future by committing to close collaboration with the Palantir team to achieve their full potential through data and AI." Ross Schalmo, chief data officer at Eaton, stated, "With a native integration between Snowflake and Palantir, two of our strategic technology partners, we eliminate tedious data movement tasks allowing us to focus on delivering outcomes ranging from agentic configuration, pricing and quoting to digital twins on our shop floor and improved servicing of our products in the field." Recent Events Snowflake has entered into a strategic deal with Cognite to enable bidirectional, zero-copy data sharing between Cognite's Industrial AI and Data Platform and the Snowflake AI Data Cloud. Investors can gain exposure to the stock via The RBB Fund Trust Twin Oak Endure ETF (BATS:SPYA) and Listed Funds Trust TrueShares Technology, AI & Deep Learning ETF (NYSE:LRNZ). Price Action: SNOW shares are up 2.67% at $247.30 at the last check on Thursday. Read Next: Accenture Expands AI Capabilities Through Decho Buyout, Eyes Broader Palantir Integration Photo: Grand Warszawski / Shutterstock.com SNOWSnowflake Inc$248.583.21%OverviewLRNZListed Funds Trust TrueShares Technology, AI & Deep Learning ETF$47.64-%PLTRPalantir Technologies Inc$182.471.59%SPYAThe RBB Fund Trust Twin Oak Endure ETF$27.55-%Market News and Data brought to you by Benzinga APIs