Latest news with #ChristianKleinerman
Business Wire
6 days ago
- Business
- Business Wire
Atlan Launches Data Quality Studio for Snowflake, Becoming the Unified Trust Engine for AI
SAN FRANCISCO--(BUSINESS WIRE)--Atlan, a metadata platform powering data and AI governance, today unveiled at Snowflake's annual user conference, Snowflake Summit 2025, Data Quality Studio, a new module that runs natively on Snowflake Data Metric Functions (DMFs) and elevates Atlan into a unified trust engine. Atlan's Data Quality Studio supports the Snowflake AI Data Cloud's existing data quality features to manage that freshness, completeness, validity, and more. 'GenAI breaks without trusted data,' said Prukalpa Sankar, Co-founder of Atlan. 'By running business-first quality checks inside Snowflake and surfacing trust signals everywhere, Atlan works with the Snowflake AI Data Cloud to create a real-time guardian of context and compliance. That's how customers become truly AI-native—fast, safe, and audit-ready.' The Last Mile of AI Readiness: 'Fit-for-Purpose' Data Most data-quality tooling stops at pipeline health. Yet AI models and analytic dashboards fail when the data feeding them isn't fit for the specific business question at hand. Data Quality Studio closes this gap by letting business and data teams codify the real-world expectations — freshness, completeness, bias thresholds, regulatory constraints — on the high-value tables, views, and features that power analytics and AI. The result is that every prompt, vector search, and Snowflake Cortex AI call is backed by data that the business has pre-approved as safe to act on. How Data Quality Studio Works with Snowflake No-code & SQL rule creation: Data teams can define quality expectations in natural language templates or via custom SQL inside Atlan's metadata platform. Push-down execution on Snowflake DMFs: Rules run directly in the customer's Snowflake account, keeping data in place and scaling to petabytes with zero new infrastructure required. Real-time trust signals: Badges, scores, and lineage overlays surface in Atlan & BI tools, instantly showing whether data is fit-for-purpose. Snowflake Unified Trust Center: Additionally, Atlan aggregates native DMF results and signals from partners like Anomalo, Monte Carlo, and Soda, giving teams one pane of glass for data health—from raw sources to data products to AI features. 'Atlan stands out as a Snowflake's Elite Partner and our 2025 Data Governance Partner of the Year, providing joint customers a unified metadata control plane for data and AI,' said Christian Kleinerman, EVP of Product, Snowflake. 'Atlan's new Data Quality Studio, powered by Snowflake Data Metric Functions, combines business collaboration with Snowflake's scale, creating confidence in AI-ready data. Enterprises bringing AI agents and apps to production need that certainty, and together, Snowflake and Atlan provide the blueprint for accelerating AI.' Availability Atlan Data Quality is in private preview. Organizations can request access at or through their Atlan or Snowflake representative. About Atlan Atlan is the leading metadata platform powering data & AI governance. It is a control plane that stitches together a business's disparate data & AI infrastructure, cataloging data and enriching it with business context and security. Data practitioners spend 30-50% of their time finding and understanding data; Atlan's platform cuts that time by 95% and sets a new standard for an AI-Native future. With Atlan, data and business teams, and AI agents, can easily find, trust, and govern data across the entire enterprise. Backed by top investors including GIC, Insight Partners, Sequoia Capital India, and Salesforce Ventures, Atlan features deep integrations across the modern data stack and is trusted by the likes of General Motors, Autodesk, Unilever, Ralph Lauren, FOX, News Corp, Nasdaq, Medtronic, Plaid, and HubSpot to enable major AI and data democratization initiatives. To learn more about Atlan, please visit our website and follow us on X (@AtlanHQ) and LinkedIn.
Yahoo
6 days ago
- Business
- Yahoo
Atlan Launches Data Quality Studio for Snowflake, Becoming the Unified Trust Engine for AI
SAN FRANCISCO, June 03, 2025--(BUSINESS WIRE)--Atlan, a metadata platform powering data and AI governance, today unveiled at Snowflake's annual user conference, Snowflake Summit 2025, Data Quality Studio, a new module that runs natively on Snowflake Data Metric Functions (DMFs) and elevates Atlan into a unified trust engine. Atlan's Data Quality Studio supports the Snowflake AI Data Cloud's existing data quality features to manage that freshness, completeness, validity, and more. "GenAI breaks without trusted data," said Prukalpa Sankar, Co-founder of Atlan. "By running business-first quality checks inside Snowflake and surfacing trust signals everywhere, Atlan works with the Snowflake AI Data Cloud to create a real-time guardian of context and compliance. That's how customers become truly AI-native—fast, safe, and audit-ready." The Last Mile of AI Readiness: "Fit-for-Purpose" Data Most data-quality tooling stops at pipeline health. Yet AI models and analytic dashboards fail when the data feeding them isn't fit for the specific business question at hand. Data Quality Studio closes this gap by letting business and data teams codify the real-world expectations — freshness, completeness, bias thresholds, regulatory constraints — on the high-value tables, views, and features that power analytics and AI. The result is that every prompt, vector search, and Snowflake Cortex AI call is backed by data that the business has pre-approved as safe to act on. How Data Quality Studio Works with Snowflake No-code & SQL rule creation: Data teams can define quality expectations in natural language templates or via custom SQL inside Atlan's metadata platform. Push-down execution on Snowflake DMFs: Rules run directly in the customer's Snowflake account, keeping data in place and scaling to petabytes with zero new infrastructure required. Real-time trust signals: Badges, scores, and lineage overlays surface in Atlan & BI tools, instantly showing whether data is fit-for-purpose. Snowflake Unified Trust Center: Additionally, Atlan aggregates native DMF results and signals from partners like Anomalo, Monte Carlo, and Soda, giving teams one pane of glass for data health—from raw sources to data products to AI features. "Atlan stands out as a Snowflake's Elite Partner and our 2025 Data Governance Partner of the Year, providing joint customers a unified metadata control plane for data and AI," said Christian Kleinerman, EVP of Product, Snowflake. "Atlan's new Data Quality Studio, powered by Snowflake Data Metric Functions, combines business collaboration with Snowflake's scale, creating confidence in AI-ready data. Enterprises bringing AI agents and apps to production need that certainty, and together, Snowflake and Atlan provide the blueprint for accelerating AI." Availability Atlan Data Quality is in private preview. Organizations can request access at or through their Atlan or Snowflake representative. About Atlan Atlan is the leading metadata platform powering data & AI governance. It is a control plane that stitches together a business's disparate data & AI infrastructure, cataloging data and enriching it with business context and security. Data practitioners spend 30-50% of their time finding and understanding data; Atlan's platform cuts that time by 95% and sets a new standard for an AI-Native future. With Atlan, data and business teams, and AI agents, can easily find, trust, and govern data across the entire enterprise. Backed by top investors including GIC, Insight Partners, Sequoia Capital India, and Salesforce Ventures, Atlan features deep integrations across the modern data stack and is trusted by the likes of General Motors, Autodesk, Unilever, Ralph Lauren, FOX, News Corp, Nasdaq, Medtronic, Plaid, and HubSpot to enable major AI and data democratization initiatives. To learn more about Atlan, please visit our website and follow us on X (@AtlanHQ) and LinkedIn. View source version on Contacts press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
CNBC
02-06-2025
- Business
- CNBC
Snowflake to buy database startup Crunchy Data for about $250 million
Data analytics software maker Snowflake said Monday it has agreed to buy Crunchy Data, a startup that offers cloud-based database software. Snowflake will pay about $250 million, according to a person familiar with the matter who was not authorized to speak publicly about the deal. Crunchy Data sells access to a cloud-hosted version of the PostgreSQL open-source database, which replaced MySQL as the most popular database in Stack Overflow's annual developer survey in 2023. Crunchy Data's service includes security and performance enhancements in comparison with the standard open-source code. Snowflake rival Databricks last month announced its intent to acquire Neon, whose software is also based on PostgreSQL, for around $1 billion. Snowflake also looked at buying Neon last year but walked away, according to a different person who added that Crunchy Data generates over $30 million in annualized revenue. Neon did not immediately respond to a request for comment. Both Databricks and Snowflake are counting on their respective deals to help them benefit from corporate spending to deliver artificial intelligence agents that carry out tasks on their own. With Crunchy Data, Snowflake will soon provide early access to a PostgreSQL database service, according to a statement. The plan is to simplify the process of moving data into Snowflake with the new service so clients can more easily run queries on a larger supply of data, according to Christian Kleinerman, executive vice president of product at Snowflake. Shares of Snowflake are up around 36% so far this year. In May, Stifel analysts likened the company to top-tier golfer Scottie Scheffler, saying Snowflake had delivered a "Scheffler Like Quarter & Guide," surpassing consensus with 25% year-over-year revenue growth. Stifel has a buy rating on Snowflake stock. "We're helping our customers build a strong foundation to lead in the era of agentic AI," CEO Sridhar Ramaswamy told analysts on a conference call in May. "We're continuing on this momentum, and you'll see even more from us in just a few weeks." Crunchy Data was founded in 2012 and is based in Charleston, South Carolina, with around 100 employees. Investors include Alsop Louie Partners, Gray Ventures, Harbert Growth Partners and Heavybit. Clients include Kyndryl, Thales, UPS and the U.S. Department of Homeland Security. The
Channel Post MEA
11-04-2025
- Business
- Channel Post MEA
Snowflake Unveils Innovations Around Apache Iceberg
Snowflake has announced that it is bringing its core capabilities — unparalleled performance, secure data sharing, and data protection — to Apache Iceberg tables, one of the fastest-growing open table formats, empowering organizations to activate data faster with zero data movement and open interoperability. As a result, Snowflake customers can now seamlessly accelerate their open lakehouse strategies, unlocking data access and analysis across open and managed environments in order to build, scale, and share advanced insights and AI-powered apps faster. Until now, organizations have been forced to make tradeoffs when it comes to managing their data — relying on integrated data platforms or opting for open, interoperable data formats like parquet. With Snowflake's full support for Apache Iceberg tables, customers now gain the best of both worlds. Users can store, manage, and analyze their data in an open, interoperable format, while still benefiting from Snowflake's easy, connected, and trusted platform. All of this happens without vendor lock-in, enabling thousands of global customers with unparalleled performance and flexibility so they can tap into all of their data, and ultimately propel their AI strategies forward. 'The future of data is open, but it also needs to be easy,' said Christian Kleinerman, EVP of Product, Snowflake. 'Customers shouldn't have to choose between open formats and best-in-class performance or business continuity. With Snowflake's latest Iceberg tables innovations, customers can work with their open data exactly as they would with data stored in the Snowflake platform, all while removing complexity and preserving Snowflake's enterprise-grade performance and security.' Snowflake is deeply invested in advocating for open standards and community-driven open source projects that enhance data interoperability and transparency. In fact, 35% of Snowflake's acquisitions over the last four years have been companies with technologies that strengthen open data ecosystems, underscoring the company's investment in openness. 0 0
Tahawul Tech
13-03-2025
- Business
- Tahawul Tech
Snowflake expands Microsoft partnership, integrating Azure OpenAI
Snowflake, the AI Data Cloud company, recently announced an expanded partnership with Microsoft that will empower enterprises to build easy, efficient, and trusted AI-powered apps and data agents with OpenAI's models directly in Snowflake Cortex AI, Snowflake's fully managed AI service. Snowflake Cortex AI will integrate Microsoft Azure OpenAI Service in Azure AI Foundry, making OpenAI's state-of-the-art models available for use on Microsoft Azure regions within Snowflake, and optimised to reason across audio, video, and text in real-time. Snowflake Cortex AI will integrate Microsoft Azure OpenAI Service in Azure AI Foundry, enabling businesses to access OpenAI's advanced models within Snowflake on Microsoft Azure regions. Optimised for real-time analysis across text, audio, and video, this integration allows enterprises to create secure, AI-powered data agents within Snowflake's AI Data Cloud By bringing OpenAI's models to Cortex AI through an integration with Azure OpenAI Service, Snowflake further solidifies its leadership in providing users with frontier AI models within the same unified governance framework as their data— ultimately saving businesses time and money. 'We're expanding our long-standing partnership with Microsoft to deliver the best of OpenAI's innovations directly to our customers, further advancing our promise to bring easy, efficient, and trusted AI to enterprises around the world,' said Christian Kleinerman, EVP of Product, Snowflake. 'There's enormous power in our customers being able to use OpenAI models directly in Snowflake's secure platform, unlocking multimodal, agentic, and conversational AI use cases that drive high impact.' . Snowflake's cross-region and cross-cloud AI inference also enables global customers to seamlessly access OpenAI's models from any cloud or region, without needing complex integrations or manual setup. Access to these models is secured with Snowflake's strong security guarantees through deep integrations with Microsoft Azure, providing protected connections for customers on any cloud provider. OpenAI's models provide advanced reasoning and instruct capabilities, allowing users to quickly build scalable AI apps and data agents that deliver accurate, grounded insights using their enterprise data. Snowflake customers achieve this because OpenAI's models run within the security boundary of Snowflake's AI Data Cloud. Snowflake Horizon Catalogue's strong enterprise-grade compliance, security, privacy, discovery, and collaboration capabilities natively integrated into Cortex AI allows users to focus on driving impact with OpenAI's models. 'Enterprises are looking to leverage their proprietary data to create AI differentiation in ways that bring the richest experiences to the world, and the Snowflake partnership with Azure OpenAI Service through Azure AI Foundry will empower our joint customers to deliver intuitive and trustworthy app experiences even faster,' said Asha Sharma, CVP, Head of Product, Microsoft AI Platform. 'It's our shared data-centric approach to AI that helps break down barriers to production for businesses of all sizes'. Bringing OpenAI to the AI Data Cloud with Azure OpenAI Service A recent MIT Technology Review Insights report, Data Strategies for AI Leaders, found that 59% of respondents see data governance, security, or privacy as key challenges in deploying generative AI. For businesses, trust and security are critical to AI success. By integrating OpenAI's models into Cortex AI via Azure OpenAI Service, Snowflake ensures strong data governance, access controls, and monitoring—helping enterprises protect their most sensitive information. With OpenAI's models in the AI Data Cloud, joint customers of Snowflake and Microsoft can now seamlessly combine structured and unstructured data to deliver a richer, more engaging user experience. OpenAI's models will be available on select Microsoft Azure regions in the United States, with plans to expand globally. In addition to OpenAI's models, Snowflake offers various models from leading providers including Anthropic, DeepSeek, Meta, Mistral, and more, alongside Snowflake's Arctic open source language and embedding models. Snowflake is committed to making the top-performing models seamlessly accessible to users within Cortex AI, allowing customers the choice and flexibility to select the best model for their specific use case. Snowflake Brings Data Agents to Microsoft 365 Copilot and Microsoft Teams With this expanded partnership, Snowflake is working with Microsoft to bring users Snowflake Cortex Agents to Microsoft 365 Copilot and Teams (anticipated general availability in June 2025). Powered by Cortex AI, these agents will allow Microsoft's enterprise customers to interact with their structured and unstructured Snowflake data using natural language directly within Microsoft apps—making it easier to ask questions and gain insights from tools they use every day. This integration helps users of all skill levels access AI-driven insights, boosting productivity and smarter decision-making. Developers can also use REST APIs to build secure, customised interfaces between Microsoft 365 apps and their data in Snowflake, while data and engineering teams can leverage Cortex AI in Microsoft Copilot to accelerate business insights. Image Credit: Snowflake
