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Qlik Expands Integration with the Databricks Data Intelligence Platform
Qlik Expands Integration with the Databricks Data Intelligence Platform

Business Wire

time10-06-2025

  • Business
  • Business Wire

Qlik Expands Integration with the Databricks Data Intelligence Platform

SAN FRANCISCO--(BUSINESS WIRE)-- Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced a series of new capabilities for customers of Databricks, the Data and AI company, built on the Databricks Data Intelligence Platform. These enhancements include streaming real-time data into Unity Catalog's Uniform tables via change data capture (CDC), automated Apache Iceberg™ optimization through Qlik Open Lakehouse, and the creation of high-quality data products. These enhancements give data teams greater flexibility across open formats, improve operational performance with Delta and Iceberg data, and accelerate the path to trusted, AI-ready architectures, without compromising Databricks-native governance or performance. New capabilities include: Real-Time Data Streaming to Databricks Uniform Tables via CDC: Qlik Replicate ® now streams continuous CDC from enterprise data sources directly into Unity Catalog's managed Iceberg tables, enabling low-latency ingestion that supports strict business SLAs for both Delta and Iceberg formats. Adaptive Iceberg Optimization: As data is ingested into Apache Iceberg tables by Qlik Talend Cloud ®, Qlik Open Lakehouse's fully automated optimizer will intelligently handle compactions, partitioning, and pruning, reducing storage footprint and delivering faster queries. Optimized Iceberg tables will be queryable via Databricks Photon or any Iceberg-compatible engine with consistently low-latency performance. High-Quality, AI-Ready Data Products: Enables data teams to build governed Data Products and push down data quality computation for Databricks assets—including Delta Live Tables—ensuring products remain trusted, accurate, and ready for AI use cases. Spark-Aware Studio Roadmap Enhancements: Qlik will soon introduce new developer-focused capabilities including schema inference, Databricks notebook import, and native Spark debugging—empowering teams to manage governed, self-service data pipelines within their existing Databricks workflows. 'Databricks customers continue to push the boundaries of what's possible with open data formats and AI,' said Ariel Amster, Director, Strategic Technology Partners at Databricks. 'By delivering real-time change data capture into UniForm tables and its native integration with Mosaic AI, Qlik is helping our joint customers simplify and accelerate innovation on the Databricks Data Intelligence Platform.' 'From ingestion to insight, Databricks customers are demanding more speed, flexibility, and trust across their data estate,' said David Zember, Senior Vice President of Worldwide Channels and Alliances at Qlik. 'These new capabilities allow teams to do more with their Databricks investment—especially around governance, interoperability, and AI readiness.' The new capabilities—including Uniform table CDC and Iceberg optimization—are now available in private preview. Qlik's planned Open Lakehouse integration for Databricks is under development with timing to be announced. To learn more, request early access, or see a demo, visit Qlik at booth #521 during Databricks Data + AI Summit or visit our website. 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.

Qlik Named Snowflake 2025 Data Integration Partner of the Year
Qlik Named Snowflake 2025 Data Integration Partner of the Year

Channel Post MEA

time04-06-2025

  • 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

Qlik Appoints Brian Hamel as Chief Revenue Officer to Accelerate Growth and Expand Market Leadership in Enterprise AI
Qlik Appoints Brian Hamel as Chief Revenue Officer to Accelerate Growth and Expand Market Leadership in Enterprise AI

Yahoo

time03-06-2025

  • 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

Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers
Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers

Yahoo

time02-06-2025

  • 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

Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers
Qlik Adds Native Support for Snowflake Managed Iceberg Tables, Expands Open Lakehouse Options for Snowflake Customers

Business Wire

time02-06-2025

  • 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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