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

A-Team Insight Blogs

Snowflake Acquisition of Streamlit Will Accelerate Data Apps Development

Subscribe to our newsletter

Snowflake has signed a definitive agreement to acquire Streamlit, provider of an open source  framework that enables developers and data scientists to build and share data apps quickly and iteratively, without the need to be an expert in front-end development. The company says more than 1.5 million apps have been built using the framework.

Following the acquisition, Snowflake customers will be able to use Streamlit’s app development framework to further unlock data in the Snowflake Data Cloud. Streamlit users will benefit from greater resources for continued innovation of the Streamlit framework, and easier access to trusted and secure data to power data applications. Both will benefit from a larger and more active community contributing to the Streamlit framework.

“At Snowflake, we bring together open standards and open source with industry-leading data governance and security,” says Snowflake co-founder and president of products, Benoit Dageville. “When Snowflake and Streamlit come together, we will be able to provide developers and data scientists with a single hub to discover and collaborate with data they can trust to build next generation data apps.”

Streamlit CEO and co-founder, Adrien Treuille, adds: “By joining forces with Snowflake, both the Streamlit and Snowflake developer communities will be able to tap into cutting edge technologies to unlock the true potential of data.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

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 and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

MCPs in Data Management: Bringing New Order to Private Markets

Financial institutions have begun deploying Model Context Protocols (MCPs) as they have expanded the use of artificial intelligence applications and agents. The technology developed by Anthropic is an open-source contextual layer that helps coordinate models and data, enabling AI applications to connect with a multitude of other platforms and processes. In the first of a...

EVENT

RegTech Summit New York

Now in its 10th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

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...