Latest news with #ApacheIceberg
Business Wire
18 hours ago
- Business
- Business Wire
Informatica Expands Collaboration with Snowflake Partnership, Enabling Trusted AI-Ready Data Through Snowflake Apache Polaris and Cortex AI Integration
SAN FRANCISCO--(BUSINESS WIRE)-- Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced new product innovations at Snowflake Summit, Snowflake's annual user conference, including expansion of its support for Apache Iceberg ™. These updates help joint customers use both companies' Generative AI (GenAI) technologies to build reliable, enterprise-level AI applications. New Informatica Intelligent Data Management Cloud Application Integration Capabilities for Snowflake Cortex AI (now Generally Available globally): New Cortex AI Connectivity: New connectors for Cortex AI, Cortex Search, Cortex Analyst and Cortex Agents Simplified RAG and Agent Use Case Development: Simplify GenAI application creation for data professionals with no-code development and deployment with Snowflake Cortex AI Informatica is enhancing its Open Table Connector (Apache Iceberg) to support Apache Polaris: New Apache Iceberg Open Table Connector for Snowflake with support for Snowflake Apache Polaris (Private Preview): Informatica Cloud Data Integration's no-code/low-code data pipelines can now load data into Snowflake from over 300 sources using the Iceberg table format. All tables are automatically registered in Snowflake Apache Polaris, enabling seamless interoperability across Snowflake and other query engines (Planned release in July 2025). Informatica Master Data Management Extension for Snowflake: Informatica is launching its Master Data Management (MDM) SaaS Extension for the Snowflake AI Data Cloud, allowing customers to consolidate master and transaction data across multiple sources. The seamless integration between Informatica MDM and the Snowflake platform enables customers to easily load their trusted master data assets from Informatica's MDM SaaS including customer, supplier, product, patient, provider and other domains directly into the Snowflake AI Data Cloud. The integration brings together data from disparate domains, so data practitioners can power their analytics and AI use cases. 'Informatica continues to be at the forefront of Generative AI and Apache Iceberg innovation with Snowflake enabling our joint customers to build for the future with a trusted, AI-ready data foundation,' said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems and Technology at Informatica. 'Today's announcement underscores our relentless commitment to innovating and leading with Snowflake to deliver greater value for customers through deep product roadmap and partnership alignment.' 'Informatica's Intelligent Data Management Cloud and Generative AI blueprint for Cortex AI provide a rich foundation of trusted data and metadata intelligence that has enabled us to accelerate innovation with Cortex Analyst and deliver GenAI experiences for our end users leveraging Snowflake data,' said Moli Thomas, Senior Director of Enterprise Data and Analytics at HMH Education Company. 'Snowflake and Informatica continue to collaborate and innovate across product development and engineering to support enterprise customers,' said Saptarshi Mukherjee, Director of Product, Data Engineering at Snowflake. 'Informatica's expanded capabilities with the Cortex AI platform and private preview of its support for Snowflake Apache Polaris showcase our shared commitment to deliver an enhanced and seamless experience for enterprise customers using Snowflake to power their AI initiatives.' Join us at booth #1509 and breakout session #AI212 at Snowflake Summit 2025 as we build the future of AI and enterprise applications, empowering organizations to harness the capabilities of advanced data management and GenAI applications. About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access governed data, simplify operations and scale with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation.
Yahoo
2 days ago
- Business
- Yahoo
Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers
New capabilities enable real-time data streaming, Iceberg optimization, and AI-ready architectures for faster, more cost-effective insights SAN FRANCISCO, June 02, 2025--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the launch of native support for Snowflake-managed Apache Iceberg™ tables, enabling fast, open-format data pipelines directly into Snowflake's highly performant, governed environment. Alongside this, Qlik is introducing additional capabilities that allow customers to leverage Qlik Open Lakehouse, powered by Apache Iceberg, in conjunction with Snowflake for greater architectural flexibility and AI scalability. These advancements are designed to help Snowflake customers reduce latency, optimize storage and compute efficiency, and accelerate the development of AI-powered applications, including retrieval-augmented generation (RAG) via Snowflake Cortex AI. Newly announced capabilities include: Native Streaming to Snowflake-managed Iceberg Tables: Qlik Talend Cloud® now supports continuous change data capture (CDC) from enterprise systems directly into Snowflake-managed Iceberg tables, enabling low-latency ingestion supporting strict business SLAs for analytics and AI use cases. Qlik Open Lakehouse Optimization & Mirroring: Qlik Open Lakehouse combines low-latency ingestion into Apache Iceberg tables with an automated optimizer that manages compactions, partitioning, and pruning in S3—delivering faster queries and a reduced storage footprint without manual tuning. It also mirrors Iceberg data back into Snowflake for downstream transformations without duplicating data. One-Click Data Products with In-Snowflake Quality Execution: Qlik data products can be generated directly within customers' Snowflake ecosystems, leveraging the Qlik Talend Trust Score™ to push down data quality computation in Snowflake—enabling teams to produce governed, high-quality outputs that elevate the value of curated assets. Knowledge Mart for RAG on Snowflake Cortex: Qlik's Knowledge Mart transforms structured and unstructured content—including PDFs, call transcripts, and relational records—into AI-ready vectorized assets in Snowflake, powering retrieval-augmented generation pipelines through Cortex with full explainability and governance. "Open standards like Apache Iceberg are foundational to an interoperable data stack, including both Qlik and Snowflake," said Saurin Shah, Senior Product Manager, Data Engineering at Snowflake. "By combining real-time ingestion, automated optimization, and Cortex-ready AI pipelines, Qlik, together with Snowflake, helps customers accelerate time to insight while maximizing the value of their data investments." "The integration between Qlik and Snowflake has transformed how we manage and operationalize data," said Michael Benassi, Vice President of Enterprise Analytics at United Federal Credit Union. "By operationalizing near real-time data ingestion and streamlined engineering pipelines, we're able to scale insights across the business and support faster, more trusted AI initiatives." "This launch gives our joint customers the power to do more with their Snowflake investment," said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. "By combining Qlik's real-time ingestion and Iceberg optimization with native Snowflake governance, we're unlocking a smarter path to analytics and AI that's as open as it is scalable." The new Qlik capabilities are now available in private preview, with general availability targeted in July 2025. To request early access, see a live demo, or speak with Qlik product experts, visit booth #1219 at Snowflake Summit 2025 or visit us online. About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. More than 11,000 companies around the globe, including hundreds of the world's largest, use Snowflake's AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at (NYSE: SNOW). About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. View source version on Contacts Media Contact Keith 512-367-2884
Business Wire
2 days ago
- Business
- Business Wire
Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers
SAN FRANCISCO--(BUSINESS WIRE)-- Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced at Snowflake's annual user conference, Snowflake Summit 2025, the launch of native support for Snowflake-managed Apache Iceberg™ tables, enabling fast, open-format data pipelines directly into Snowflake's highly performant, governed environment. Alongside this, Qlik is introducing additional capabilities that allow customers to leverage Qlik Open Lakehouse, powered by Apache Iceberg, in conjunction with Snowflake for greater architectural flexibility and AI scalability. These advancements are designed to help Snowflake customers reduce latency, optimize storage and compute efficiency, and accelerate the development of AI-powered applications, including retrieval-augmented generation (RAG) via Snowflake Cortex AI. Newly announced capabilities include: Native Streaming to Snowflake-managed Iceberg Tables: Qlik Talend Cloud® now supports continuous change data capture (CDC) from enterprise systems directly into Snowflake-managed Iceberg tables, enabling low-latency ingestion supporting strict business SLAs for analytics and AI use cases. Qlik Open Lakehouse Optimization & Mirroring: Qlik Open Lakehouse combines low-latency ingestion into Apache Iceberg tables with an automated optimizer that manages compactions, partitioning, and pruning in S3—delivering faster queries and a reduced storage footprint without manual tuning. It also mirrors Iceberg data back into Snowflake for downstream transformations without duplicating data. One-Click Data Products with In-Snowflake Quality Execution: Qlik data products can be generated directly within customers' Snowflake ecosystems, leveraging the Qlik Talend Trust Score™ to push down data quality computation in Snowflake—enabling teams to produce governed, high-quality outputs that elevate the value of curated assets. Knowledge Mart for RAG on Snowflake Cortex: Qlik's Knowledge Mart transforms structured and unstructured content—including PDFs, call transcripts, and relational records—into AI-ready vectorized assets in Snowflake, powering retrieval-augmented generation pipelines through Cortex with full explainability and governance. 'Open standards like Apache Iceberg are foundational to an interoperable data stack, including both Qlik and Snowflake,' said Saurin Shah, Senior Product Manager, Data Engineering at Snowflake. 'By combining real-time ingestion, automated optimization, and Cortex-ready AI pipelines, Qlik, together with Snowflake, helps customers accelerate time to insight while maximizing the value of their data investments.' 'The integration between Qlik and Snowflake has transformed how we manage and operationalize data,' said Michael Benassi, Vice President of Enterprise Analytics at United Federal Credit Union. 'By operationalizing near real-time data ingestion and streamlined engineering pipelines, we're able to scale insights across the business and support faster, more trusted AI initiatives.' 'This launch gives our joint customers the power to do more with their Snowflake investment,' said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. 'By combining Qlik's real-time ingestion and Iceberg optimization with native Snowflake governance, we're unlocking a smarter path to analytics and AI that's as open as it is scalable.' The new Qlik capabilities are now available in private preview, with general availability targeted in July 2025. To request early access, see a live demo, or speak with Qlik product experts, visit booth #1219 at Snowflake Summit 2025 or visit us online. About Snowflake Snowflake makes enterprise AI easy, efficient and trusted. More than 11,000 companies around the globe, including hundreds of the world's largest, use Snowflake's AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at (NYSE: SNOW). About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.
Techday NZ
23-05-2025
- Business
- Techday NZ
Citi invests in Starburst to advance secure AI data solutions
Starburst has received a strategic investment from Citi to support the delivery of secure and scalable data applications for enterprises. Starburst provides a data platform that allows organisations to unify access to distributed data across cloud, on-premises, and hybrid environments without requiring data duplication or complex migrations. The company aims to deliver AI and analytics solutions built on an open and hybrid data lakehouse foundation. This approach is designed to support global enterprises in creating intelligent data applications while maintaining security and scalability. According to Starburst, its platform brings artificial intelligence closer to data storage, referred to as "lakeside", which is intended to reduce the friction traditionally experienced between data, governance, and AI processes. The company reports that its technology is currently utilised by 10 of the top 15 banks worldwide. The investment from Citi was made through the Markets Innovation & Investments division. Lee Smallwood, Global Head of Markets Innovation and Investments at Citi, said, "We're excited to collaborate with Starburst to help shape the future of enterprise data and AI. Our strategic investment reflects Citi's commitment to advancing a modern, AI-ready data infrastructure, prioritising governance, performance, and flexibility to power mission-critical financial services in a global, regulated environment." Justin Borgman, Chief Executive Officer and Co-Founder of Starburst, commented on the partnership by stating, "Our mission is to meet the data challenges faced by complex, global institutions. We're proud to provide our clients with a secure, high-performance platform that enables access to data wherever it lives. Citi's investment reinforces our mission to remove barriers between data and insight, especially in industries where speed, trust, and governance are non-negotiable." Starburst has indicated it is continuing to expand its presence in regulated industries that are increasingly adopting AI as a core part of transformational strategies. The company says its platform is built upon an open data stack, incorporating Trino and Apache Iceberg to provide federated access and governed collaboration, supporting compliance and data lineage for enterprises. Starburst states its platform is trusted by enterprises in over 60 countries, including four of the top five global banks. The company highlights strategic partnerships with providers such as AWS and Dell Technologies to support interoperability for clients across multiple environments. Starburst reports that, by focusing on performance, governance, and control, it aims to enable organisations handling intensive and sensitive data workloads to unlock more value from their information and support the adoption of compliant AI solutions.
Yahoo
20-05-2025
- Business
- Yahoo
Should You Buy, Hold, or Sell Snowflake Stock Before Q1 Earnings?
Snowflake SNOW is set to report its first-quarter fiscal 2026 results on May Zacks Consensus Estimate for the top line is pegged at $1 billion, suggesting year-over-year growth of 21.13%. The consensus mark for earnings is pegged at 22 cents per share, unchanged over the past 30 days, indicating 57.14% year-over-year company's earnings beat the Zacks Consensus Estimate in three of the trailing four quarters, missing once, the average earnings surprise being 28.04%. (Find the latest EPS estimates and surprises on Zacks Earnings Calendar.) Snowflake Inc. price-eps-surprise | Snowflake Inc. Quote Let's see how things have shaped up before this announcement. Snowflake's fiscal first-quarter performance is expected to have benefited from an expanding clientele and a strong partner base. Snowflake continues to gain from strong adoption and increasing usage of its platform, as reflected in a net revenue retention rate of 126% as of Jan. 31, 2025. In fourth-quarter fiscal 2025, the number of customers that contributed more than $1 million in the trailing 12-month product revenue increased from 455 as of Jan. 31, 2024, to 580 as of Jan. 31, of Jan. 31, 2025, SNOW had 11,159 customers, increasing from 9,384 customers as of Jan. 31, 2024. The clientele included 745 of the Forbes Global 2000 and accounted for 45% of SNOW's fiscal 2025 revenues of $3.6 billion, up 29% from fiscal 2024. This strong momentum is expected to have carried into the to-be-reported quarter as the first quarter of fiscal 2026, Snowflake expects product revenues in the range of 955-$960 million. The projection range indicates year-over-year growth of 21-22%.Snowflake's investments in artificial intelligence (AI) and machine learning, including the introduction of Cortex AI and its integration with models from OpenAI and Anthropic, continue to drive customer engagement. More than 4,000 customers are utilizing Snowflake's AI and ML technology on a weekly basis, which is expected to have positively impacted the company's performance in the to-be-reported quarter. Snowflake shares have surged 18.5% in the year-to-date period, outperforming the Zacks Computer and Technology sector's decrease of 1.4% and the Zacks Internet Software industry's increase of 7.2%. The outperformance in SNOW stock is driven by its strong portfolio and an expanding partner base. Image Source: Zacks Investment Research SNOW stock is not so cheap, as suggested by the Value Score of terms of the forward 12-month Price/Sales, SNOW is trading at 12.81X, higher than the Computer & Technology sector's 6.18X. Image Source: Zacks Investment Research Snowflake's expanding portfolio has been noteworthy. Products like Apache Iceberg and Hybrid tables, Polaris, Cortex Large Language Model and ML functions are helping Snowflake win new clients. Building on this momentum, in April 2025, Snowflake enhanced its AI Data Cloud by integrating core capabilities with Apache Iceberg tables. This enabled seamless open lakehouse strategies, improved query performance, comprehensive security, and data sharing while advancing open-source strengthening its offerings in May 2025, SNOW announced the expansion of its AI Data Cloud with automotive-specific solutions, driving digital transformation and AI innovation across the automotive industry. SNOW's strong partner base, which includes major players like Microsoft MSFT, Amazon AMZN, NVIDIA NVDA, ServiceNow, Fiserv, EY, LTMindtree, Next Pathway and S&P Global, is expected to have been a major growth driver of its April 2025, SNOW announced an expanded partnership with Microsoft to integrate OpenAI's models into Snowflake Cortex AI through Azure OpenAI Service, empowering enterprises to build AI-powered apps. This collaboration also brings Snowflake Cortex Agents to Microsoft 365 Copilot and Microsoft Teams, enhancing productivity with AI-driven partnership with NVIDIA enables businesses to build customized AI data applications using Snowflake Cortex AI and NVIDIA AI Enterprise software, driving enhanced AI performance and partnership with Amazon's cloud computing platform, Amazon Web Services (AWS), has expanded to drive customer-focused innovation, enhance industry-specific solutions, deepen product integrations, and increase collaborative sales and marketing efforts to serve more than 6,000 joint customers, including major Fortune 500 companies. Snowflake benefits from a rich partner base, expanding clientele and an innovative portfolio, but is weighed down by competitive pressures and rising costs. Snowflake also expects a tougher year-over-year revenue comparison in the to-be-reported quarter due to lapping the leap year, which will impact the company's top-line also expects the first quarter of fiscal 2026 non-GAAP operating margin to be impacted by approximately $15 million in expenses related to its annual sales kickoff event. Stretched valuation also remains a SNOW carries a Zacks Rank #3 (Hold), implying that investors should wait for a better entry point to accumulate the stock. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (AMZN) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report NVIDIA Corporation (NVDA) : Free Stock Analysis Report Snowflake Inc. (SNOW) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research 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
