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Building Data Applications Is Now Trouble Free for Data Scientists on Snowflake Following Streamlit’s Acquisition

The two companies find the acquisition valuable for each other to create more innovative experience for their customers

Snowflake, with its vision to enrich the customer experience- CX of its cloud clients, has successfully acquired Streamlit, an open-source application development framework. The acquisition is reportedly carried out for US$800 million.

The acquisition will enable data scientists and developers on both platforms to build easy and fast web applications. As for Snowflake’s clients, front-end development by Data Scientists is now possible without the need of having knowledge on application development. Streamlit users will also benefit from the acquisition by using Snowflake’s collaborative cloud platform to work on data they can trust. 

Value-Proposition of Snowflake

Snowflake offers companies PaaS, fully managed cloud service for data enablement and analytic workloads such as Data Engineering, Data Lake, Data Warehouse,  Data Science, and Data sharing with now an easy way for application development without having the expertise of a developer. 

Customer experience is at the heart of Snowflake’s strategy which has empowered the data cloud company to attract hundreds of top companies from all across the globe, prominent names include Warner Music Group, jetBlue, Western Union, Anthem, Doordash, and CapitalOne.

Value Proposition of Streamlit

Simplicity in creation of data applications without having to become a skilful front-end developer is a great commodity to have. Streamlit, which allows you to build and speed up the development of applications for data analysis, showcases this potential and offers the advantage of developing web applications in pure Python. 

Streamlit calls its API “magically simple” to make apps with a small number of code lines and has successful 8 million downloads which made 1.5 million web applications.

Ayesha
I engineer the content and acquaint the science of analytics to empower rookies and professionals.
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