Thierry Cruanes | $1B+
Get in touch with Thierry Cruanes | Thierry Cruanes is a co-founder of Snowflake and a visionary database architect who redefined cloud data storage. Before launching Snowflake in 2012, he spent thirteen years at Oracle as a lead architect, specializing in parallel query execution and optimization. His technical expertise was instrumental in designing the platform’s unique architecture that separates compute from storage, fueling its rise to the largest software IPO in history. A PhD in Computer Science with over 40 patents, Cruanes remains a key figure in the company’s technological evolution. He is widely credited with helping shift the global industry toward high-performance, cloud-native data analytics.
Thierry Cruanes, Co-Founder & CTO, Snowflake. Thierry co-founded Snowflake and currently serves as Chief Technical Officer. Thierry is a leading expert in query optimization and parallel execution. He spent 13 years at Oracle focused on the optimization and parallelization layers in Oracle databases including as lead for the optimization group. Before Oracle, he spent seven years at the IBM European Center of Applied Mathematics working on data mining technologies. Thierry has a PhD in Computer Science with a focus in Database Systems and holds over 40 patents.
Snowflake Inc. is an American cloud-based data platform company founded on July 23, 2012, in San Mateo, California, by data warehousing experts Benoît Dageville, Thierry Cruanes, and Marcin Żukowski, and now headquartered in Bozeman, Montana, where it relocated its executive offices in 2021 as part of a shift to a distributed work model.[1][2][3] The company specializes in providing a fully managed SaaS platform that supports data warehousing, data lakes, data engineering, data sharing, and AI-driven analytics, operating across major cloud providers including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.[4][5] Snowflake achieved a landmark initial public offering (IPO) on September 16, 2020, raising approximately $3.4 billion in the largest software IPO in history at the time, which valued the company at over $33 billion on its debut day.[6][7]
Since its inception, Snowflake has grown rapidly to serve thousands of organizations worldwide, including Fortune 500 companies, by enabling secure data collaboration and scalability without traditional infrastructure management.[1] Its innovative architecture separates storage and compute resources, allowing for elastic scaling and cost efficiency in handling massive datasets.[4] In recent years, Snowflake has expanded into AI capabilities with the launch of Snowflake Cortex AI in 2023, a suite of generative AI services integrated directly into its platform to facilitate building and deploying AI-powered applications, such as large language models (LLMs) and agentic AI for sectors like financial services.[8][9] By 2025, enhancements such as Cortex Analyst (introduced in public preview in 2024 for natural language querying of structured data) and Cortex AISQL have further embedded generative AI into data queries, empowering users to analyze diverse data types and construct AI pipelines securely within Snowflake's governed environment.[10][11] Today, under CEO Sridhar Ramaswamy (appointed in 2024) and with Frank Slootman as chairman, Snowflake continues to innovate in the AI Data Cloud space, focusing on eliminating data silos and accelerating enterprise analytics.[12]
History
Founding and Early Development
Snowflake Inc. was founded on July 23, 2012, in San Mateo, California, by three data warehousing experts: Benoît Dageville, Thierry Cruanes, and Marcin Żukowski.[1][13] Dageville and Cruanes were former Oracle database architects with extensive experience in data management systems, while Żukowski served as the co-founder and chief technology officer of Vectorwise, a data analytics company later acquired by Ingres Corporation.[1] The company's inception stemmed from the founders' recognition of limitations in traditional on-premises data warehousing solutions, prompting them to develop a new architecture tailored for cloud environments.[14]
The initial vision for Snowflake was to create a cloud-native data platform that fundamentally separated compute resources from storage, enabling scalable, efficient analytics without the constraints of legacy systems.[13] This architectural innovation allowed organizations to independently scale computing power and data storage based on demand, reducing costs and improving performance for large-scale data processing.[15] By designing the platform from the ground up for the cloud, the founders aimed to address the inefficiencies of adapting older technologies to modern cloud infrastructures, positioning Snowflake as a pioneer in cloud data warehousing.[16]
In August 2012, Snowflake secured its first funding round, a $5 million Series A investment led by Sutter Hill Ventures, which also brought Mike Speiser on board as the company's founding CEO.[16] Under Speiser's leadership, the company operated in stealth mode for its initial years, focusing on product development and early adopter validation.[17] Snowflake emerged from stealth in October 2014, at which point it was already serving approximately 80 early organizations, alongside announcing a $26 million Series B funding round.[13][18] This milestone marked the beginning of broader market engagement, with subsequent leadership transitions occurring later in the company's growth trajectory.[16]
Leadership Transitions
Snowflake Inc.'s leadership has undergone several key transitions since its founding, reflecting the company's evolution from a startup to a major public cloud data platform provider. The founding team, including Benoît Dageville and Thierry Cruanes, established the initial technical vision before subsequent CEOs guided its commercial and strategic growth.[19]
In June 2014, Bob Muglia, a former executive vice president at Microsoft, was appointed as Snowflake's first CEO, bringing extensive experience in enterprise software to lead the company's early development.[20] During his tenure, Muglia played a pivotal role in launching Snowflake's core data warehousing product and scaling its operations, which helped position the company for broader market adoption.[1]
Muglia stepped down in May 2019, paving the way for Frank Slootman, the former CEO of ServiceNow, to assume the CEO role on April 26, 2019.[21] Slootman's leadership emphasized operational discipline and growth strategies, including preparations for Snowflake's initial public offering in 2020, which significantly expanded the company's visibility and resources.[22]
Slootman retired as CEO effective February 27, 2024, after which he transitioned to the role of Chairman of the Board.[12] On the same date, Sridhar Ramaswamy, a co-founder of the AI search company Neeva and former Google executive, was appointed as Snowflake's new CEO, with a focus on advancing the company's AI and data platform innovations.[12][23]
As of 2024, Benoît Dageville continues to serve as President of Products, overseeing product strategy and development, while Thierry Cruanes remains Chief Technology Officer, driving technical architecture and innovation.[19][24] These transitions have collectively influenced Snowflake's direction, from product-centric growth under Muglia to IPO readiness under Slootman and AI emphasis under Ramaswamy, ensuring alignment with evolving cloud data demands.[1][22][12]
Key Milestones and Expansions
Snowflake Inc. marked a significant milestone in June 2015 with the launch of its first cloud data warehouse product, transitioning from stealth mode to general availability and enabling scalable, cloud-native data storage and analytics.[25] This release positioned the company as a pioneer in separating compute from storage, allowing users to independently scale resources for improved efficiency.[26]
In 2018, Snowflake expanded its platform to Microsoft Azure, announcing general availability in September following a public preview earlier that year, which broadened its multi-cloud strategy and attracted enterprises leveraging Azure's ecosystem.[27] This move enhanced accessibility for customers seeking vendor flexibility beyond Amazon Web Services.[28] Building on this, in June 2019, Snowflake announced a strategic partnership with Google Cloud Platform, with preview availability starting in fall 2019 and general availability in early 2020, further solidifying its presence across major cloud providers.[29]
That same month, June 2019, Snowflake introduced the Snowflake Data Exchange, a platform designed to facilitate secure data sharing among organizations without copying or moving data, initially available in private preview.[30] This innovation addressed key barriers in data collaboration, enabling real-time access to third-party datasets within the Snowflake environment.[31]
In May 2021, Snowflake relocated its principal executive offices from San Mateo, California, to Bozeman, Montana, while adopting a distributed work model to support remote operations across locations.[2] This shift reflected the company's emphasis on flexibility amid the evolving tech landscape, maintaining significant presence in Silicon Valley.[32]
Snowflake launched Cortex AI services in November 2023, introducing features for generative AI and machine learning directly within its platform.[33] In November 2024, the company unveiled Snowflake Intelligence, a platform enabling business users to build data agents for analysis, summarization, and action on enterprise data.[34]
By 2023, Snowflake had grown to serve thousands of organizations globally, including a substantial portion of the Forbes Global 2000, underscoring its widespread adoption in data management.[35]
Products and Services
Core Data Cloud Platform
Snowflake Inc.'s core offering is the Snowflake Data Cloud, a unified platform that integrates data warehousing, data lakes, data engineering, and data sharing capabilities into a single, cloud-native environment. This architecture enables organizations to store, process, and analyze vast amounts of structured, semi-structured, and unstructured data without the need for traditional silos, allowing for seamless collaboration and secure data sharing across teams and ecosystems. By combining these elements, Snowflake facilitates efficient data management at scale, supporting workloads from basic analytics to advanced applications while maintaining high performance and governance standards.[36][37]
Snowflake provides Snowsight as its modern web-based user interface, serving as the primary way for users to interact with the platform. Snowsight enables querying data using SQL worksheets, creating and sharing dashboards, managing database objects, monitoring account usage, and performing administrative tasks.[38]
The Labs feature within Snowsight allows users to enable and test preview or experimental features (such as new UI elements or capabilities) before they become generally available. Labs is integrated directly into Snowsight, and there is no separate "lab space" or alternative interface.[38]
At the heart of the platform is its innovative architecture that decouples storage from compute, permitting independent scaling of resources to optimize costs and performance. Storage is handled through a central data repository that uses cloud object storage for durability and accessibility, while compute resources are provisioned via virtual warehouses that can be resized or paused as needed without impacting data availability. This separation ensures efficient resource utilization, as users pay only for the compute they use, and it supports concurrent workloads without interference, making it ideal for dynamic enterprise environments.[39][40]
Snowflake supports deployment across major cloud providers, starting with Amazon Web Services (AWS) as its initial platform, followed by Microsoft Azure in 2018 and Google Cloud Platform in 2019. This multi-cloud strategy allows customers to choose their preferred provider while maintaining a consistent data experience, data portability, and global availability across regions without vendor lock-in. The platform handles core workloads including analytics for business intelligence, machine learning model training and inference, real-time streaming data processing, and handling of unstructured data such as images, documents, and videos through native SQL extensions.[41][42][43]
A key component for data ingestion is Snowpipe, a serverless feature that enables continuous, automated loading of new data files from cloud storage into Snowflake tables in near real-time. Snowpipe monitors specified storage locations for changes and loads data incrementally based on event notifications, reducing latency for streaming and batch ingestion scenarios while minimizing manual intervention.[44][45]
Major Features and Innovations
Snowflake's Snowpark is a developer framework that enables the creation of data pipelines and applications using familiar programming languages such as Python, Java, and Scala, directly within the Snowflake environment.[46] It leverages Snowflake's vectorized execution engine to process data at scale without requiring data movement outside the platform, supporting libraries for Apache Spark and other tools to facilitate machine learning workflows and complex data transformations.[47] Launched in 2020, Snowpark pushes down custom logic to Snowflake for efficient execution, allowing developers to build scalable applications while benefiting from the platform's separation of storage and compute.[48]
Unistore represents a significant innovation in handling hybrid transactional and analytical processing (HTAP) workloads on Snowflake's cloud data platform.[49] Introduced in 2022, it unites transactional and analytical data in a single system, enabling low-latency operations like single-row reads and writes alongside analytical queries, all under unified governance.[50][51] Key features include hybrid tables that support transactional integrity with primary and foreign key constraints, making it suitable for real-time applications such as e-commerce inventory management or customer-facing services.[52] This approach simplifies development by eliminating the need for separate databases, reducing data silos and operational complexity.[49]
The Native App Framework, released in 2023, empowers developers to build, distribute, and monetize custom applications entirely within the Snowflake ecosystem.[53] It allows the creation of data applications that leverage Snowflake's core functionalities, such as SQL, Snowpark, and Streams, without external dependencies, ensuring seamless integration and security.[54] Apps developed with this framework can be published to the Snowflake Marketplace for global distribution, enabling providers to offer specialized tools for tasks like data visualization or advanced analytics directly to end-users.[55]
Cortex AI, launched in 2023, is Snowflake's suite of generative AI services designed to enhance data-driven decision-making within a secure, governed environment.[8] It includes capabilities for running large language models (LLMs) natively, performing vector search for semantic similarity, and deploying custom ML models, all powered by Snowflake's SQL-based interface.[56] Users can build AI-powered applications for tasks like natural language querying, sentiment analysis, and content classification, with features such as COMPLETE for text generation and SEARCH for retrieval-augmented generation.[57] Cortex integrates seamlessly with Snowflake's platform architecture to process both structured and unstructured data at scale.[8]
Cortex Analyst is a fully-managed, LLM-powered feature in Snowflake Cortex that enables business users to ask natural language questions about structured data in Snowflake, automatically generating accurate SQL queries and answers for self-service analytics. It uses semantic models for precision, supports REST API integration, multi-turn conversations, and enterprise-grade security without training on customer data. Available in multiple AWS and Azure regions.[10]
The Snowflake Marketplace facilitates secure, live data sharing and collaboration by allowing organizations to publish and consume ready-to-query datasets, applications, and services.[58] It supports zero-copy data sharing, where providers can create listings with metadata and previews, enabling consumers to access fresh data without duplication or ETL processes.[59] This feature fosters innovation across industries by promoting data monetization and cross-organizational insights, such as in healthcare for shared research datasets or finance for market intelligence.[60]
Ecosystem and Integrations
Snowflake's ecosystem emphasizes seamless connectivity with external tools and platforms, enabling users to leverage its data cloud for broader analytics and collaboration workflows. The platform supports integrations with leading business intelligence (BI) tools, allowing organizations to query and visualize Snowflake data without extensive data movement.[61] This connectivity fosters an open environment where third-party applications and data providers enhance Snowflake's capabilities for diverse industries.[62]
Key integrations include support for BI solutions such as Tableau, which provides native connectivity for creating interactive dashboards and reports directly from Snowflake data.[61] Similarly, Power BI integrates with Snowflake to enable end-to-end analytics, including enterprise dashboards and self-service reporting, by leveraging Snowflake's secure data sharing features.[63] Sigma Computing offers a spreadsheet-like interface built specifically for Snowflake, empowering business teams to perform analytics and build data apps without traditional dashboard limitations.[64]
In December 2020, Snowflake expanded its data provider support by investing in Knoema through Snowflake Ventures, enabling Knoema's rich datasets—covering economic, demographic, and industry data—to become available via the Snowflake Data Marketplace.[65] This integration allows users to access thousands of always-up-to-date datasets for enhanced analytics and decision-making.[66] Furthering advertising data collaboration, Snowflake Ventures acquired a 5% stake in OpenAP in October 2022, marking the first such investment by a non-television publisher in the consortium.[67] This move accelerates the development of OpenAP's Data Hub, facilitating secure data collaboration for advertisers across media platforms.[68]
Central to Snowflake's ecosystem is the Snowflake Marketplace, a platform for discovering, sharing, and monetizing third-party data products, applications, and services.[58] Launched to fuel insights and innovation, it provides live, ready-to-query datasets and apps that integrate directly with Snowflake's core platform, supporting cross-cloud and cross-organization data collaboration.[69] The marketplace has grown to include 50 essential apps, AI tools, and data products as of 2024, enabling users to extend analytics capabilities without building from scratch.[69]
Competitors
Snowflake's primary competitors in the cloud data warehousing and analytics platform market include Google BigQuery, Amazon Redshift, Microsoft Azure Synapse Analytics, and Databricks.[70] These platforms provide similar capabilities for data storage, querying, and large-scale analytics. While many of these competitors are closely tied to specific cloud ecosystems—such as Redshift to AWS, BigQuery to Google Cloud, and Synapse Analytics to Azure—Snowflake distinguishes itself with multi-cloud support across major providers and the independent scaling of storage and compute resources. Databricks also supports multi-cloud deployments but emphasizes lakehouse architecture with integrated machine learning capabilities.[70][71]
Operations
Headquarters and Global Presence
In May 2021, the company relocated its principal executive offices from San Mateo to Bozeman, Montana, marking a significant shift in its operational structure.[2] This move aligned with Snowflake's adoption of a distributed company model, allowing for a more flexible, location-agnostic organization without a traditional central headquarters.[2]
As part of its global expansion, Snowflake maintains offices across multiple regions to support its multi-cloud operations on platforms like AWS, Azure, and Google Cloud. In the United States, key locations include Bozeman (Montana), Menlo Park (California), Bellevue (Washington), New York City (New York), Denver (Colorado), and Boston (Massachusetts). Internationally, the company has established presence in Europe with offices in cities such as Munich (Germany) and Dublin (Ireland), and in Asia-Pacific with physical offices in countries including Australia, India, Japan, and Singapore. Snowflake's data centers are distributed across global geographic segments, enabling secure, scalable data warehousing, lakes, engineering, and AI analytics for customers worldwide.[72][73][74]
This infrastructure supports Snowflake's growth, with the employee base expanding to 8,240 by fiscal year 2026, distributed across over 40 offices globally.[75][76]
Workforce and Corporate Culture
Snowflake Inc. maintains a globally distributed workforce, with approximately 7,800 employees spread across numerous locations worldwide as of January 2025, enabling flexibility in operations and talent acquisition.[77][78] Following the company's relocation and decision in 2021 to forgo a traditional corporate headquarters, it has emphasized a remote-first approach, supporting hybrid and fully remote work arrangements depending on roles and team needs.[79] This structure accommodates a diverse range of positions, including flexible options for sales and engineering teams, while promoting work-from-home support through competitive benefits like extended parental leave and flexible time-off policies.[80]
The corporate culture at Snowflake is centered on innovation, collaboration, and cloud-native agility, where high standards are balanced with humility and a focus on both ambition and enjoyment in the workplace.[81] Employees describe an environment that fosters creativity and individual accountability, with 90% rating it as a great place to work compared to 57% at typical U.S. companies as of the latest certification, highlighting strong pride, responsibility, and resource provision.[82] Diversity, equity, and inclusion form a core pillar, with initiatives including targeted recruiting for underrepresented groups, partnerships with organizations serving underserved communities, and programs to build inclusive pipelines, all aimed at fueling innovation through diverse perspectives.[80][83]
To support employee growth and retention amid rapid scaling, Snowflake invests in professional development, community engagement via programs like Snowflake for Good, and a performance-based culture that encourages authenticity and long-term commitment.[81][80] These strategies contribute to high employee satisfaction, with 95% expressing pride in their association with the company and 94% feeling empowered to make a meaningful impact as of the latest certification.[82]
Financial Performance
Funding Rounds and IPO
Snowflake Inc. began securing venture capital funding shortly after its founding in 2012. In 2012, it raised approximately $1 million in a seed round, followed by a $5 million Series A round led by Sutter Hill Ventures.[84] Its first significant subsequent round occurred in 2014, when the company raised $26 million in a Series B round led by investors including Sutter Hill Ventures, Redpoint Ventures, and Wing Venture Capital.[85] This funding supported early product development and market expansion for its cloud data platform.
Subsequent rounds accelerated as Snowflake demonstrated growth in the data warehousing space. In 2015, it secured $45 million in a Series C round, with participation from Altimeter Capital and existing investors.[85] By 2017, a Series D round brought in approximately $100 million from investors such as Ioniq Capital and Madrona Venture Group, valuing the company at around $1 billion post-money.[86] In 2018, Snowflake raised $263 million in a Series E round led by Sequoia Capital, achieving a valuation milestone of $1.5 billion.[85] Later that year, in October, it raised $450 million in a Series F round also led by Sequoia Capital, at a $3.5 billion valuation.
The company's funding momentum continued into 2020 with a substantial Series G round of $479 million, led by Dragoneer Investment Group and including Meritech Capital Partners and Salesforce Ventures, which elevated its pre-IPO valuation to $12.5 billion.[87] These rounds collectively provided approximately $1.4 billion in venture capital, enabling Snowflake to scale operations and innovate across cloud providers before going public.[88]
Snowflake went public on September 16, 2020, through an initial public offering on the New York Stock Exchange under the ticker SNOW.[89] The IPO raised $3.4 billion by selling 28 million shares at $120 each, marking the largest software IPO in history at the time and resulting in a market capitalization exceeding $33 billion on debut day.[6] Shares more than doubled on the first trading day, closing at $253.93, reflecting strong investor enthusiasm for the company's data cloud technology.[6]
Revenue Growth and Metrics
Snowflake Inc. has demonstrated robust revenue growth since its inception, with total revenue reaching $3.63 billion in fiscal year 2025, marking a 29.21% increase from $2.81 billion in the prior year.[90] This growth trajectory reflects the company's expanding adoption in cloud data platforms, with product revenue—primarily from data warehousing and analytics services—comprising the majority at approximately 94% of total revenue in recent years.[91] Historically, Snowflake's revenue has accelerated from $265 million in fiscal 2020 to over $1.9 billion by fiscal 2023, underscoring its rapid scaling in the cloud computing market.[92]
Despite strong top-line expansion, Snowflake reported an operating loss of $1.456 billion in fiscal 2025, a 33% widening from the previous year's $1.095 billion loss, driven by significant investments in research, development, and sales.[93] Net income for the same period stood at a loss of $1.286 billion, representing a 53.77% increase in losses compared to fiscal 2024's $0.836 billion deficit, highlighting ongoing challenges in achieving profitability amid aggressive growth strategies.[94] On the balance sheet, total assets grew to $9.034 billion by the end of fiscal 2025, up 9.86% from $8.223 billion in 2024, while total equity decreased to $3.01 billion.[95]
Key performance metrics further illustrate Snowflake's market traction, including an approximately 19% year-over-year increase in its customer base to 12,621 as of the third quarter of fiscal 2026 (October 31, 2025), with 688 customers generating over $1 million in trailing 12-month product revenue and 766 Forbes Global 2000 clients.[96][97] Product revenue trends show consistent acceleration, such as 28% year-over-year growth to $943.3 million in the fourth quarter of fiscal 2025, contributing to its position as a leading cloud data vendor by 2023.[98][92] This post-IPO momentum, following its 2020 public offering, has solidified Snowflake's role in serving thousands of global organizations across major cloud providers.[90]
Acquisitions and Partnerships
Notable Acquisitions
Snowflake Inc. has pursued strategic acquisitions to enhance its AI Data Cloud platform, focusing on technologies that bolster search, database management, and observability capabilities. One of the company's notable moves was the acquisition of Neeva, Inc., a search startup founded by former Google executives, which was completed in May 2023 for an undisclosed amount.[99] This acquisition aimed to integrate Neeva's generative AI-driven search innovations into Snowflake's ecosystem, enabling more intelligent data querying and analysis at scale.[99] By incorporating Neeva's technology, Snowflake sought to accelerate the development of advanced search functionalities within its Data Cloud, particularly for handling unstructured data through AI enhancements.[100]
In June 2025, Snowflake announced the acquisition of Crunchy Data, a provider of enterprise-grade PostgreSQL solutions, for about $250 million.[101] This deal was intended to bring a developer-friendly, AI-ready PostgreSQL database to Snowflake's platform, expanding its offerings in multi-model data management and supporting hybrid workloads across cloud environments.[102] Crunchy Data's expertise in PostgreSQL services was expected to enable Snowflake to deliver more robust, enterprise-scale database capabilities, particularly for AI applications requiring transactional and analytical processing.[103]
Snowflake further expanded its portfolio in January 2026 by announcing its intent to acquire Observe, Inc., an AI-powered observability platform, in a deal valued at approximately $1 billion.[104] The acquisition targeted Observe's capabilities in unifying logs, metrics, and traces to provide real-time insights, aiming to reduce telemetry costs and enhance enterprise-scale monitoring within Snowflake's AI Data Cloud.[105] This move positioned Snowflake to enter the growing IT operations management market, valued at over $50 billion, by integrating AI-driven observability tools directly into its data platform.[106]
These acquisitions have significantly impacted Snowflake's platform capabilities, enabling seamless integration of AI search, advanced database services, and observability features to support end-to-end data workflows. For instance, the Neeva integration has contributed to enhancements in Snowflake's search tools, allowing for more natural language-based data exploration. Overall, these moves have strengthened Snowflake's position in AI-driven data management by embedding specialized technologies that improve scalability and user productivity across its cloud offerings.
Strategic Partnerships
Snowflake Inc. maintains strategic partnerships with major cloud providers to ensure its data platform is hosted and scalable across multiple environments, enabling customers to choose their preferred infrastructure without vendor lock-in. The company operates on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), with availability in over 20 global regions, providing a consistent multi-cloud experience for data warehousing and analytics.[107][108] These partnerships facilitate seamless deployment and interoperability, allowing organizations to leverage Snowflake's capabilities while adhering to their existing cloud strategies.[109]
A notable collaboration involves Snowflake Ventures' investment in OpenAP, an advertising technology consortium, announced in October 2022, where Snowflake acquired a minority stake to accelerate the development of the OpenAP Data Hub. This partnership, powered by Snowflake's technology, enables secure cross-platform data sharing among TV industry partners like NBCUniversal, Fox, Paramount, and Warner Bros. Discovery, enhancing targeted advertising through clean room solutions.[110][111] The initiative builds on an existing relationship and aims to standardize audience measurement and data distribution in the advertising sector.[112]
Snowflake has also formed integrations with various data providers and tool vendors through its Data Marketplace, exemplified by its partnership with Knoema in early 2021, which expanded access to economic datasets for analytics. This integration allows users to directly consume Knoema's Economy Data Atlas within Snowflake, streamlining data ingestion and analysis for business intelligence applications.[113] By 2021, the marketplace had grown to include over 350 datasets from more than 120 providers, including Knoema, fostering an ecosystem for collaborative data sharing.[113]
In the realm of joint innovations, Snowflake has pursued AI ecosystem developments through alliances that enhance its Cortex AI services. For instance, in December 2025, Snowflake partnered with Accenture to establish the Accenture Snowflake Business Group comprising 5,000 professionals, aimed at helping enterprises reinvent operations with AI-driven data solutions, with early adopters like Caterpillar.[114] Similarly, a October 2025 collaboration with Cognite introduced zero-copy data sharing for industrial AI applications, unifying operational data for enterprise-wide intelligence.[115] Additionally, Snowflake expanded its ties with Google Cloud in January 2026 by integrating Google's Gemini models into Cortex AI, enabling secure, enterprise-grade AI deployments for customers like BlackLine.[116] These efforts underscore Snowflake's focus on collaborative AI advancements to drive innovation across industries.
Controversies and Security Incidents
2024 Data Breach
In 2024, Snowflake Inc. experienced a significant security incident involving unauthorized access to several customer accounts, leading to mass data theft and extortion attempts targeting organizations such as Ticketmaster and Santander Bank.[117][118] The breach, tracked by cybersecurity firm Mandiant as the UNC5537 campaign, affected up to 165 of Snowflake's customers worldwide but did not involve any compromise of Snowflake's core production or production-adjacent environments, according to a joint investigation completed in May 2024.[119][120][121]
The primary cause of the incident was the use of compromised customer credentials, often obtained from prior data leaks and not protected by multi-factor authentication (MFA), allowing attackers to gain unauthorized access to Snowflake instances.[119][122] This campaign was linked to financially motivated hackers, including Connor Riley Moucka and John Erin Binns, with Moucka, a 25-year-old software engineer from Ontario, arrested on October 30, 2024, and charged with conspiracy, wire fraud, and extortion in connection to the Snowflake-related cyberattacks. Both individuals were indicted in November 2024, and Moucka was extradited to the United States in March 2025, with an arraignment occurring in July 2025; the case remains ongoing as of early 2026.[123][124][125] The attackers exploited stolen username-password pairs from infostealer malware, targeting accounts without additional security layers.[126]
The impacts were widespread, involving data extortion across multiple industries, with stolen information from affected companies including AT&T (impacting over 110 million customers' records) and Neiman Marcus (exposing personal details of approximately 64,000 customers).[127][128][129][130] High-profile victims like Ticketmaster and Santander also faced breaches of customer data, including personal and financial information for millions of users, leading to public disclosures and regulatory scrutiny.[117][118][131] The extortion efforts by groups like ShinyHunters resulted in leaked databases on cybercrime forums, amplifying reputational and operational risks for the victims.[117][127]
In response, Snowflake collaborated with Mandiant and CrowdStrike to investigate and notify affected customers, emphasizing that the incidents stemmed from customer-side credential issues rather than platform vulnerabilities.[132][133] The company enhanced its security measures by introducing mandatory MFA options in authentication policies and strengthening overall infrastructure to prevent recurrence, though detailed long-term consequences remain incomplete in public reporting as of early 2026.
Disclaimer: This profile is based on publicly available information. No endorsement or affiliation is implied.
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