Latest news with #QlikOpenLakehouse
Channel Post MEA
2 days ago
- Business
- Channel Post MEA
Qlik Named Snowflake 2025 Data Integration Partner of the Year
Qlik has announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has been named the 2025 Data Integration Data Cloud Product Partner of the Year award winner by Snowflake, the AI Data Cloud company. Qlik was recognized for its achievements in helping joint customers accelerate trusted, AI-ready data pipelines on the Snowflake platform. Through innovations like native support for Snowflake-managed Iceberg tables and the introduction of the Qlik Open Lakehouse architecture, Qlik empowers enterprises to scale high-volume ingestion, optimize cost and performance, and unlock greater value from SAP and other enterprise data sources. 'This award is a reflection of how well-aligned Qlik and Snowflake are in delivering modern, trusted, and governed data engineering at scale,' said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. 'We're proud to help customers harness more value from their SAP and operational data through faster pipelines, Iceberg optimization, and SAP data products tailored for Snowflake environments. Together, we're redefining what's possible with AI-ready architecture.' '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. 'With near real-time ingestion and streamlined engineering pipelines, we're able to scale insights across the business and support faster, more trusted AI initiatives.' 'The transformative results Qlik has achieved for our joint customers exemplify innovation in action,' said Kieran Kennedy, Global Leader for Data Cloud Product Partners, Snowflake. 'Naming them as our 2025 Data Engineering Partner of the Year is not just recognition of their technical excellence, but of their vital role in shaping how modern enterprises harness the AI Data Cloud.' 0 0
Yahoo
3 days ago
- Business
- Yahoo
Qlik Appoints Brian Hamel as Chief Revenue Officer to Accelerate Growth and Expand Market Leadership in Enterprise AI
Appointment of seasoned global sales executive positions Qlik to drive execution at scale amid surging demand for flexible, end-to-end data-to-decision solutions PHILADELPHIA, June 03, 2025--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the appointment of Brian Hamel as Chief Revenue Officer, joining at a pivotal moment as enterprises shift from AI experimentation to real-world impact. Hamel will lead Qlik's global sales organization to meet surging demand for enterprise-ready solutions that turn data and AI into trusted, timely decisions. His arrival accelerates Qlik's next phase of growth, building on its position as the independent leader in delivering trusted, scalable data-to-decision execution. Hamel brings more than 25 years of leadership experience from enterprise technology companies including IBM, Lenovo, Oracle, and most recently Veritas, where he led global sales transformation and accelerated the company's shift to cloud and subscription models. Throughout his career, he has built and scaled high-performing commercial organizations, modernized go-to-market operations, and driven sustained growth through major market transitions. His track record in aligning sales strategy with customer needs—especially during moments of platform and technology disruption—positions him well to lead Qlik's global expansion in the era of enterprise AI. "Brian's appointment marks a pivotal next step in Qlik's growth story," said Mike Capone, CEO of Qlik. "His experience scaling global go-to-market organizations and leading through major industry shifts makes him the right leader to help us capture the full opportunity in front of us. As enterprises race to turn data and AI into better decisions, Brian will play a critical role in expanding our customer impact and accelerating our global reach." "I'm thrilled to join Qlik at this defining time," said Hamel. "Enterprises are under real pressure to move faster and make smarter decisions with their data—and Qlik has the platform and momentum to help them do it. My focus from day one will be listening to our teams, engaging with customers and partners, and building on the strong foundation already in place. I believe great outcomes come from aligned teams who believe in the mission—and Qlik has that." Hamel's appointment builds on a milestone year for Qlik, marked by record growth in SaaS annual recurring revenue and the launch of two major innovations—Qlik's agentic AI experience and Qlik Open Lakehouse—unveiled last month at Qlik Connect. These launches reflect Qlik's continued leadership in delivering practical, scalable, and cost-efficient AI across the enterprise. As organizations look to embed AI into real workflows and decisions, demand is accelerating for solutions that sit at the center of enterprise strategy—spanning data integration, governance, analytics, and AI. In his new role, Hamel will lead efforts to expand Qlik's global partner ecosystem, deepen strategic alliances, and strengthen the company's go-to-market execution—ensuring Qlik can meet customer needs with greater speed, specialization, and scale. These priorities are central to helping some of the world's largest brands in complex, high-stakes industries leverage Qlik's platform and AI capabilities to gain a strategic edge, as Qlik continues defining the standard for enterprise AI execution. 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 ContactKeith 512-367-2884 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
Yahoo
4 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
4 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.
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Business Standard
15-05-2025
- Business
- Business Standard
Qlik unveils agentic experience to simplify data workflows, aid decisions
Qlik, a leading player in data integration, data quality, analytics, and artificial intelligence, on Wednesday introduced its new agentic experience to drive faster decisions and boost productivity by bringing new simplicity to complex data-driven workflows. Besides, the company launched Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. These two products were unveiled at Qlik Connect 2025 here for its customers. The agentic experience will provide a single, conversational interface allowing users across the enterprise to interact naturally with data, using specialised AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows. At the heart of this continuous innovation is the Qlik engine, a unique technology that indexes relationships across data, enabling the discovery of unexpected connections. This new agentic experience is about removing the distance between data, decisions, and outcomes, Qlik CEO Mike Capone said here. "People want a seamless, conversational way to engage with their data, one that fits naturally into their work and delivers clear, trusted answers in context. We've built this experience to reflect how decisions actually get made in a business," he said. As enterprises face unpredictable market conditions and increasing pressure to make critical decisions rapidly, investments in AI have grown, he said, adding that, with its agentic experience, Qlik is focused on helping customers turn data into timely, high-quality decisions and results. Qlik's agentic experience to be rolled out this summer is specifically designed to empower teams to accelerate both decisions and productivity in rapidly changing environments, he added. Designed for enterprises under pressure to scale faster and spend less, Capone said, Qlik Open Lakehouse delivers real-time ingestion, automated optimisation, and multi-engine interoperability, without vendor lock-in or operational overhead. As organisations accelerate AI adoption, he said, the cost and rigidity of traditional data warehouses have become unsustainable. Qlik Open Lakehouse offers a new path -- a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5 times, 5 times faster query performance and up to 50 per cent lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines, he said. "With Qlik Open Lakehouse, enterprises gain real-time scale, full control over their data, and the freedom to choose the tools that work best for them. We built this to meet the demands of AI and analytics at enterprise scale, without compromise," he said. Qlik Open Lakehouse is built from the ground up to meet the scale, flexibility, and performance demands of modern enterprises, without the tradeoffs, he added. During the Qlik Connect 2025, it was also highlighted that despite record AI investment, most enterprises remain stuck in the lab. According to recent IDC research, while 80 per cent plan to deploy agentic AI workflows, only 12 per cent feel ready to support autonomous decision-making at scale. Trust in outputs is eroding amid growing concerns around hallucinations, bias, and regulatory scrutiny, the report said. And as models become commoditised, competitive advantage is shifting, not to those with the most advanced models, but to those who can operationalise AI with speed, integrity, and confidence, it added. The Qlik AI Council emphasised that trust must be designed in, not added later. Execution is the new differentiator, and it only works when the data, infrastructure, and outputs are verifiable, explainable, and actionable. In today's environment, the companies that pull ahead won't be the ones that test the most, they'll be the ones that deliver, the Council said. Observing that the market is short on execution, Capone said, companies aren't losing ground because they lack access to powerful models. "They're losing because they haven't embedded trusted AI into the fabric of their operations. That's why at Qlik, we've built a platform focused on decisive, scalable action. If your data isn't trusted, your AI isn't either. And if your AI can't be trusted, it won't be used," he added. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
