About a-team Marketing Services
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

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Data Quality Meaning and Importance Transformed by AI: DMS NYC Preview

The data management space has been transformed by artificial intelligence into one that not only seeks to prise maximum value from institutions’ data but also spends almost as much resource ensuring the quality of that information. Without optimised data, the AI and agentic tools to which it is deployed will churn out sub-optimal results. It’s...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...