With the recent acquisition of Talend® and the launch of Qlik Cloud® data transformation services, Qlik® announced at Snowflake’s annual user conference, Snowflake Summit 2023, that it has significantly expanded its platform to deliver a comprehensive best-in-class approach to accessing, transforming and delivering trusted quality data for analysis and action into Snowflake’s Data Cloud.
“As customers scale with Snowflake, they want to streamline the process of getting analytics-ready and trusted data,” said Itamar Ankorion, SVP, Global Partners and Alliances at Qlik. “Qlik Cloud Data Integration’s new Data Transformation Services make it easier to leverage push-down SQL and deliver valuable data that are ready for immediate use. And with Talend’s leading quality and governance solutions, customers can further ensure they have trusted data to create a true end-to-end data integration and analytics strategy with Snowflake.”
Data fragmentation and the growing volume of data sources are putting increased focus and importance on the ability to continuously organize, transform and cost-effectively deliver real-time data through the cloud. The combination of Qlik’s data integration and analytics solutions, alongside Talend’s hybrid-cloud approach to data connectivity and data quality, is a unique end-to-end portfolio of solutions that help Snowflake customers find, transform, trust and analyze their data at scale. This comprehensive platform helps customers with:
Data Integration: Customers need easier and cost-effective solutions to ingest and immediately transform the data they land in Snowflake. Qlik’s Connector Factory will expand access and delivery of data with an initial delivery of connectors to the 20 most popular enterprise applications including NetSuite, Workday, SAP SuccessFactors, Salesforce, Cerner, OSIsoft, SAP Ariba and HubSpot. Qlik’s recently launched Data Transformation Services through Qlik Cloud Data Integration enables customers to transform ingested data directly in Snowflake and maintain history as part of broader transformation capabilities. And Qlik’s recent acquisition of Elite Snowflake Partner Talend, including Stitch and its 150+ connectors, gives customers increased flexibility and choice in how they can leverage Qlik solutions to drive more data to Snowflake.
Data Quality and Governance: Increasing trust in data is vital to driving automation, analytics and generative AI use cases. Talend’s Native Trust Scoreä and data quality rules are computed inside Snowflake, leveraging Snowpark User Defined Functions (UDFs) to push down for faster and more efficient processing. Talend’s data profiler, powered by machine learning, does a semantic analysis of the data, builds the metadata associated with the data, and checks for many different aspects of the data such as validity, completeness and uniqueness. Utilizing Talend in Snowflake UDF and Snowpark natively, customers more easily and quickly get healthier data for overall business well-being.
Trusted Data for Any Use Case: Customers have diverse needs ranging from board level reporting to specific data science and generative AI projects. Trusted data is critical across every industry, from manufacturing to supply chain and finance. Between Qlik and Talend there are a wide range of customers already leveraging solutions with Snowflake, including customers like ABB, Siemens and HARMAN. Qlik also recently took part in the launch of Snowflake’s Manufacturing Data Cloud, bringing unique SAP-related expertise and accelerators to help manufacturers unlock the value of their critical data and collaborate with their partners, suppliers and customers in a secure and scalable way.
“Customers looking to modernize their data at scale have increasing needs for cost-effective ways to efficiently transform, manage and govern their data in the cloud,” said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Qlik’s existing and new solutions, along with their newly acquired Talend capabilities, will help customers more easily manage their data transformation needs and increase the value of their data in Snowflake.”
