About a-team Marketing Services
The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Qlik Extends Cloud Analytics Services for Snowflake

Subscribe to our newsletter

Qlik, a provider of real-time data integration and analytics, has extended its cloud analytics services for Snowflake with features designed to help customers drive more value from near real-time data when deploying Qlik’s cloud platform alongside Snowflake.

The additional Software-as-a-Service (SaaS) capabilities include Direct Query and enhanced Qlik Cloud Data Services for Snowflake. Direct Query enables users to automatically generate pushdown SQL to query Snowflake on demand from within Qlik Sense. This optimises Snowflake queries with immediate access to the most recent data and creates visualisations and dashboards in Qlik Sense that can be used to understand what is driving Snowflake usage and how to best optimise Snowflake workloads to improve the user experience.

Enhancements to the company’s Cloud Data Services for Snowflake include real-time change data capture; data warehouse automation for model-driven code generation that can reduce the time, cost and risk in realising the potential of Snowflake; and reverse ETL that replicates enriched data from the Snowflake platform back to operational systems of record.

“Customers are looking to augment their investment in Snowflake with services that accelerate the access and availability of near real-time data for modern analytics,” says Tarik Dwiek, head of technology alliances at Snowflake. “Qlik’s latest SaaS platform integrations with Snowflake make it easier for customers to leverage near real-time data through Snowflake to improve decision-making with up-to-date insights.”

Itamar Ankorion, senior vice president of technology alliances at Qlik, adds: “We’re seeing growth in demand to use Qlik and Snowflake together to advance cloud data analytics strategies. These new features and enhancements are part of our continued investments to innovate and help customers accelerate time to value and drive more insights and action from their data.”

Subscribe to our newsletter

Related content


Recorded Webinar: Modernising Data Infrastructures: Challenges and opportunities of managing complex financial data and analytics in hybrid and multi-cloud environments

As they forge ahead with their digital transformation programs, financial institutions are finding that the internal platforms they use to manage complex data sets for trading, investment, risk, and compliance are no longer fit for purpose. The ongoing shift toward cloud hosting is forcing practitioners to manage the transition from deeply entrenched legacy platforms to...


DTCC Replaces Benchmarks Service with ITP Data Analytics for Operational Performance

DTCC has updated its Institutional Trade Processing (ITP) service with ITP Data Analytics, a service including analytical tools that allow broker/dealers and investment managers to measure and compare their operational performance against counterparties, industry standards and peers. ITP Data Analytics replaces DTCC’s legacy Benchmarks service. It consumes underlying daily transaction activity from DTCC’s post-trade central...


Data Management Summit New York

Now in its 12th year, the Data Management Summit (DMS) in New York brings together the North American, capital markets enterprise data management community, to explore the evolution of data strategy and how to leverage data to drive compliance and business insight.


ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...