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: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

NetApp Q&A: Intelligent Storage Helps Overcome Silo Challenges

NetApp is a cloud-native data storage and AI solutions provider that is based in San Jose, California. Data Management Insight spoke to chief marketing officer Gabie Boko to learn more about how the company helps financial institutions. Data Management Insight: When was NetApp formed, and how do you service financial institutions and financial services companies?...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...