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

Immaturity of AI Shines Through in Report Highlighting Persistence of Age-Old Data Challenges

The relative novelty of artificial intelligence use within financial services has been highlighted in a global study of the technology’s adoption, with many data challenges remaining and blind spots in security still widespread. While the 2026 Global AI in Financial Services Report by the Cambridge Centre for Alternative Finance found firms were eager to integrate...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

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...