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

A-Team Insight Blogs

FactSet Adds Proprietary Data to Snowflake Cloud Built SQL Data Warehouse

Subscribe to our newsletter

FactSet’s deployment of its proprietary datasets on the Snowflake cloud data platform is designed to provide investment professionals with immediate and scalable access to content in a cloud-built SQL data warehouse. By offering its data through Snowflake, FactSet expects to reduce the time and effort it takes for clients to integrate and use new datasets.

On a broader basis, Snowflake helps firms centralise, integrate and analyse all their data sources, ensuring consistent and transparent data integrity, and supporting faster and more cost-effective decision making than traditional data management solutions. For FactSet users, Snowflake allows the use of FactSet data alongside additional content already hosted on the platform, which runs across Amazon Web Services, Microsoft Azure and Google Cloud Platform. This availability gives users immediate and secure access to data for evaluation and testing, eliminating the need for extract, transform, and load (ETL) processes.

Christian Kleinerman, vice president of product at Snowflake, describes FactSet as a trailblazer in the financial data and software industry in terms of extending access to its data in an open and flexible way. He adds: “Snowflake is committed to enabling clients break down barriers to real-time data access both within their organisations and externally with business partners.”

Gene Fernandez, chief technology and product officer at FactSet, adds: “Delivering FactSet data through Snowflake provides faster access to data whenever and wherever our clients need it, regardless of their location or what cloud platform they use.”

Snowflake’s architecture separates data computation from storage, giving users the ability to quickly and easily scale their resources for unlimited concurrent users. The platform delivers governed access to all content across the three cloud providers mentioned above and serves as an integrated environment where clients can build data applications in a cost and time efficient way. Pricing is based on per-second usage, which Snowflake says is a fraction of the cost of traditional data management solutions.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Best practice approaches to data management for regulatory reporting

13 May 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Effective regulatory reporting requires firms to manage vast amounts of data across multiple systems, regions, and regulatory jurisdictions. With increasing scrutiny from regulators and the rising complexity of financial instruments, the need for a streamlined and strategic approach to data management...

BLOG

Data Hurdles, Expertise Loss Hampering BCBS 239 Compliance

A combination of data management hurdles, talent shortages and poor succession planning are bedevilling banks as they struggle to respond to a long-standing risk data aggregation directive – even after repeated European Central Bank (ECB) criticism of their compliance shortfalls. The Basel Committee on Banking Supervision’s Principles for effective risk data aggregation and risk reporting...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...