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Core Insights - ThoughtSpot has launched a new offering of its Agentic Analytics Platform specifically designed for integration with Snowflake, enhancing data analytics capabilities for users [1][7] - The collaboration allows hundreds of Snowflake customers, including major companies like Hyatt and PepsiCo, to leverage advanced analytics and AI features to drive business transformation [1][2] Integration and Features - The integration with Snowflake Cortex AI and Snowpark enables seamless data access and analytics, allowing users to create custom visualizations and perform real-time data analysis without data movement [4][5] - ThoughtSpot's Agentic Semantic Layer automatically connects to Snowflake, simplifying data exploration and ensuring consistency in data analysis [4][6] - The platform includes features like AI Highlights, SpotIQ Change Analysis, and Spotter, which enhance user experience by providing proactive insights and natural language queries [4][6] User Empowerment - The platform is designed to empower users across various roles, from business leaders to data scientists, enabling them to extract actionable insights and build intelligent applications [3][4] - ThoughtSpot aims to democratize data access, allowing users of all technical levels to ask meaningful questions and make data-informed decisions [6][7] Marketplace Availability - ThoughtSpot's Agentic Analytics Platform is now available on the Snowflake Marketplace, facilitating easy procurement and deployment for customers using existing Snowflake credits [5][7] - This integration is expected to accelerate time to value and enhance operational efficiencies for organizations leveraging Snowflake [5][7] Strategic Vision - The leadership at ThoughtSpot emphasizes the importance of integrating AI with human expertise to foster data-driven decision-making within organizations [6][7] - The goal is to create a more fact-driven world by empowering users to explore data and uncover insights quickly and effectively [8][9]

Core Insights - RelationalAI launched new product capabilities at Snowflake Summit 2025, enhancing its native app for the Snowflake AI Data Cloud, enabling enterprises to build intelligent, data-centric applications without data movement or architectural complexity [1][2][3] Product Enhancements - The new capabilities allow organizations to transition from reactive analytics to reasoning-powered decisions, providing a complete foundation for building semantics-aware, AI-native applications [2] - Key features include: - Support for next-generation LLM question answering with text-to-reasoner capabilities, enhancing decision-making processes [4] - Interoperability with Snowflake Semantic Views, improving accuracy and consistency in business semantics [4] - Integrated prescriptive reasoning using mathematical optimization solvers for optimal decision-making in complex domains [4] - Expanded support for graph reasoning, enabling applications to navigate complex data relationships [4] - Integrated predictive reasoning with graph neural networks (GNNs) for improved accuracy in demand forecasting, churn prediction, and risk scoring [4] Industry Impact - The collaboration with Blue Yonder demonstrates the practical application of RelationalAI's knowledge graph in AI-powered supply chain management, significantly reducing legacy code by 90% [2] - The enhancements are expected to streamline processes for Snowflake customers, helping them realize the full potential of their data [2][3]

Core Insights - Coalesce introduced significant platform innovations at Snowflake Summit 2025, enhancing data development and business insights within the Snowflake AI Data Cloud [1][2] Product Innovations - The latest updates from Coalesce allow data teams to build faster, maintain governance, and deliver trusted data at scale, featuring Coalesce Copilot in private preview and support for Snowflake Semantic Views [2][3] - Coalesce Copilot is designed to streamline transformation workflows with real-time, context-aware suggestions tailored to Snowflake environments, enhancing productivity in data engineering tasks [3][4] Integration and Adoption - Following the acquisition of CastorDoc, now Coalesce Catalog, the integration with the Transform product has been prioritized, leading to over 10% of existing customers adopting the Catalog within two months [5][6] - The platform roadmap includes features like natural language metadata exploration, auto-generation of transformation logic, and integration with collaboration tools like Slack and Teams [7][8] Growth and Partnership - Coalesce's growth within the Snowflake ecosystem has nearly doubled year-over-year, with a 4x increase in development activity and a 3x increase in Snowflake object creation [9][10] - The company is recognized as a leader in innovation within the Snowflake partner ecosystem, focusing on governed and intelligent operations [11]

Financial Data and Key Metrics Changes - Product revenue for Q1 was $997 million, representing a strong 26% year-over-year growth, and 28% when excluding the impact of the leap year [10][25] - Remaining performance obligations totaled $6.7 billion, with year-over-year growth of 34% [10] - Net revenue retention was a healthy 124% [11] - Non-GAAP product gross margin was 75.7%, and non-GAAP operating margin was 9%, up 442 basis points year-over-year [27][28] - Non-GAAP adjusted free cash flow margin was 20% [28] - The company ended the quarter with $4.9 billion in cash and investments [29] Business Line Data and Key Metrics Changes - New product offerings, particularly Snowpark and Dynamic Tables, outperformed expectations in Q1 [25] - The data engineering business showed strength, helping customers streamline their data pipelines [12] - The company added 451 net new customers in Q1, growing 19% year-over-year [27] Market Data and Key Metrics Changes - Strong growth was noted in the technology and retail sectors [25] - The company is expanding its addressable market with the launch of Snowflake Public Sector Inc. and new automotive solutions [22] Company Strategy and Development Direction - The company aims to empower enterprises through data and AI, focusing on operational rigor and efficiency while investing in growth [9] - Snowflake is committed to being an end-to-end technology provider for customers' data journeys [11] - The company is focusing on building a flexible connectivity platform for both structured and unstructured data [12] - There is a renewed focus on go-to-market operations under the new Chief Revenue Officer [21] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strong start to the year and the ongoing momentum in revenue growth [8] - The company expects Q2 product revenue between $1.035 billion and $1.040 billion, representing 25% year-over-year growth [29] - Management noted that customer behavior is being closely monitored to inform forecasts [29] Other Important Information - The company plans to host an Investor Day on June 3 in conjunction with Snowflake Summit [30] - The company is leveraging AI internally to boost productivity [22] Q&A Session Summary Question: Consumption trends exiting the quarter - Management stated that Q1 consumption was strong, and they feel good about consumption levels [34][36] Question: Monetization trends associated with Cortex - Management indicated that customers are investing in Snowflake to make their data processes AI-ready, with no separate contracts for AI [39][41] Question: Performance of Snowpark and Dynamic Tables - Management noted that both product maturation and go-to-market efforts contributed to their strong performance [45][47] Question: Federal government opportunities - Management highlighted increasing awareness of Snowflake's capabilities within government departments and optimism for future engagements [72][73] Question: Impact of macroeconomic conditions - Management observed that their customer base has evolved to include larger, more mature companies that are cost-focused, with no significant macro pressure noted [61][62] Question: Share buyback strategy - Management plans to evaluate share buybacks on a quarterly basis and anticipates utilizing the remaining authorization [56] Question: AI adoption and customer investments - Management confirmed that there is a strong demand for AI-related capabilities, with customers increasingly focusing on data rather than just models [113]

Financial Data and Key Metrics Changes - Product revenue for Q1 was $997 million, up 26% year over year, with a growth rate stable quarter over quarter [6][19] - Remaining performance obligations totaled $6.7 billion, reflecting a year-over-year growth of 34% [6] - Net revenue retention was reported at 124%, indicating strong customer retention and expansion [7] - Non-GAAP product gross margin was 75.7%, and non-GAAP operating margin was 9%, up 442 basis points year over year [21][24] - The company ended the quarter with $4.9 billion in cash and cash equivalents [24] Business Line Data and Key Metrics Changes - New product offerings, particularly Snowpark and Dynamic Tables, outperformed expectations in Q1 [19] - The data engineering business showed strength, helping customers streamline their data pipelines [8] - The company launched over 125 product capabilities in the quarter, marking significant innovation [11] Market Data and Key Metrics Changes - The company added 451 net new customers in Q1, representing a 19% year-over-year growth [21] - Strong adoption of open data formats, particularly Apache Iceberg, was noted, enhancing customer flexibility [11] Company Strategy and Development Direction - The company aims to empower enterprises through data and AI, focusing on operational efficiency while investing in growth [5][17] - Snowflake is expanding its addressable market with new solutions for the public sector and automotive industries [17] - The company emphasizes collaboration with hyperscalers like AWS and Azure to enhance customer outcomes [76] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the business, noting that customer behavior remains strong despite macroeconomic pressures [58][60] - The company expects Q2 product revenue between $1.035 billion and $1.04 billion, representing 25% year-over-year growth [24] - There is optimism regarding the federal government opportunity, with ongoing discussions about data infrastructure efficiency [67] Other Important Information - The company plans to host its Investor Day on June 3 in conjunction with Snowflake Summit [25] - Management is actively seeking candidates for the CFO position following a transition [26] Q&A Session Summary Question: Trends in consumption through the quarter - Management noted that Q1 consumption was strong, and they feel good about consumption trends [30] Question: Monetization trends associated with Cortex - Management indicated that customers are investing in Snowflake for future AI capabilities, integrating AI into their data strategies [34] Question: Performance of Snowpark and Dynamic Tables - Management acknowledged that both product maturation and go-to-market efforts contributed to their success [40] Question: Federal government opportunities - Management highlighted increasing awareness of Snowflake's capabilities within government departments and the focus on efficient data infrastructure [67] Question: Impact of AI on customer investments - Management noted that customers are increasingly recognizing the need for data to be integrated with AI capabilities [108] Question: Share buyback strategy - Management stated that they will continue to evaluate share buybacks on a quarterly basis, with no immediate plans for changes [52] Question: Importance of first-party foundation models - Management emphasized a focus on post-training techniques rather than developing large foundation models, collaborating with partners instead [100]