AUSTIN, Texas–(BUSINESS WIRE)–Anaconda Inc.provider of the world’s most popular data science platform, today announced that Snowpark for Pythonan Anaconda-integrated repository and package manager for secure and transparent access to open source in the Snowflake Data Cloud, will enter public preview at Snowflake Summit in Las Vegas this week.
Python’s rich ecosystem of open-source packages is one of the biggest enablers of data science. With Snowpark, the development framework for Snowflake, Snowflake and Anaconda will allow data engineers, data scientists and developers who prefer to use Python as their programming language of choice to take advantage of the powerful capabilities of the Snowflake platform and Collaborate securely on one platform.
“Over the past few years, Python has seen explosive demand and growth as it has become one of the most popular programming languages,” said Peter Wang, CEO and co-founder of Anaconda. “It’s an unstoppable driver of adoption, so it’s exciting to put Python on a very exclusive list of commercial tools you can use directly in the Snowflake Data Cloud. This is a game-changer for the data science community.”
The integration puts the power of Anaconda in the hands of Snowflake Data Cloud users, who already benefit from the elasticity and performance of Snowflake. Users can now run secure Python-based workflows without the need to copy or move data, and access the most popular open-source Python packages using Anaconda in Snowflake, without any manual installation.
Additionally, users can expect accelerated Python-based workflows running in Snowflake’s fast and secure processing engine with Anaconda’s transparent dependency management and secure packages. The integration will also allow users to build production data pipelines and data science workflows with Python libraries that have been built and curated by Anaconda to run in a highly secure sandbox inside Snowflake.
“We wanted to bring enterprise-grade open source innovation to the Snowflake Data Cloud as part of the Snowpark offering for Python,” said Torsten Grabs, Director of Product Management, Snowflake.By integrating Anaconda’s repository and package manager into the Snowflake engine, data scientists and engineers can seamlessly mobilize global data using the most popular open source packages without the need to copy or move the data. We welcome the Python community to the Snowflake Data Cloud!”
Anaconda and Snowflake announced their partnership in September 2021 to provide the Python developer community with secure and scalable data pipelines and machine learning workflows with the latest open source innovation. A private preview of Snowpark for Python was announced at Snowflake’s Snowday event in November 2021.
“We were very lucky to be part of the private preview,” says Jim Gradwell, Head of Data Engineering and Machine Learning at Hyper Group.Moving our Python processes to Snowpark removed unnecessary architectural complexity, simplified and accelerated our development, and reduced the costs associated with moving data and running separate environments for SQL and Python.
In addition to the public preview of Snowpark at the Snowflake Summit, Wang will participate in the Data Science Product Keynoteand Michael Grant, Vice President of Services at Anaconda, co-facilitate a session on best practices for using Anaconda in Snowflake.
For more information on Snowpark for Python, please Click here.
With over 25 million users, Anaconda is the world’s most popular data science platform and the foundation for modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to drive open source projects that enable tomorrow’s innovations. Our enterprise-grade tools are the primary solution for securing and managing commercial uses of Python, and enable businesses, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research and building a better world.