Snowflake boosts native python support and data access

Data Cloud company, has unveiled new enhancements that improve programmability for data scientists, data engineers, and application developers

The company announced the update this week at its annual user conference, Snowflake Summit 2022, in Las Vegas.

Snowflake’s latest innovations bring Python to the forefront, with the launch of Snowpark for Python, now in public preview, and a native integration with Streamlit for rapid application development and iteration, currently in development. Additionally, Snowflake is streamlining access to more data with new enhancements for working with streaming data, alongside making data stored in open formats and on-premises available in the Data Cloud.

These enhancements make it easier for data professionals and developers to build and collaborate with data quickly, while leveraging the speed, simplicity, and consistent governance and security of Snowflake’s platform.

The introduction of Snowpark, Snowflake’s developer framework, opened up a rich programming environment for data scientists, data engineers, and application developers to build scalable pipelines, applications, and machine learning (ML) workflows directly in Snowflake using their preferred languages and libraries. Snowflake is further extending what users can build with Snowpark for Python, making Python’s rich ecosystem of open-source packages and libraries seamlessly accessible in the Data Cloud.

With a highly secure Python sandbox, Snowpark for Python runs on the same Snowflake compute infrastructure as Snowflake pipelines and applications written in other languages. This provides Snowpark for Python with the same scalability, elasticity, security, and compliance benefits developers have come to expect when building with Snowflake. Developers now have the unique opportunity to streamline and modernize their data processing architecture by consolidating their Python-based data processing in Snowflake using Snowpark.