Qlik and Talend Provide a best-in-class approach to managing data for Snowflake’s Data Cloud.
At Snowflake’s annual user conference, Snowflake Summit 2023, Qlik announced a significant expansion to its platform that will greatly benefit Snowflake customers. Following Qlik’s acquisition of Talend and the launch of Qlik Cloud data transformation services Qlik 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. Qlik Cloud Data Integration’s new Data Transformation Services makes it easier to leverage push-down SQL and deliver valuable data that’s 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.”Itamar Ankorion, SVP, Global Partners and Alliances at Qlik
With an increasing number of data sources, data fragmentation can be a serious roadblock. To maintain your agility and maximise the value of your data you need a cost-effective solution to continuously organise, transform, and deliver real-time data through the cloud. Qlik’s data integration and analytics solutions have been combined with Talend’s hybrid-cloud approach to data connectivity and data quality. Together they offer a unique end-to-end portfolio of solutions so that Snowflake customers can find, transform, trust, and analyse their data at scale.
Qlik and Talend for Snowflake Data Integration
Snowflake customers need hassle-free and cost-effective solutions to both rapidly ingest and transform the data they land in Snowflake. Qlik’s Connector Factory will expand access and delivery of data with the initial delivery of connectors to the 20 most popular enterprise applications. These include 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.
Snowflake Data Quality and Governance
To drive automation, analytics, and generative AI use cases, increasing trust in data is essential. Talend’s Native Trust ScoreTM and data quality rules are computed inside Snowflake, leveraging Snowpark User Defined Functions (UDFs) to push down for faster and more efficient processing. In addition, 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. Utilising Talend in Snowflake UDF and Snowpark natively, customers will receive healthier data, faster and with ease.
Qlik and Talend for Snowflake Trusted Data for Any Use Case
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. Also, Qlik 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. 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.”Tarik Dwiek, Head of Technology Alliances at Snowflake