AUSTIN, Texas, July 09, 2024 (GLOBE NEWSWIRE) — Anaconda Inc., a leading platform provider for data science, machine learning, and AI, today announced a new integration with Snowflake Notebooks (Public Preview), a cell-based development interface integrated into Snowflake's secure, scalable platform. Snowflake Notebooks provides a convenient, easy-to-use development interface for Python, SQL, and Markdown to accelerate development with Snowflake products, including Snowflake ML, Streamlit, and Snowflake Cortex AI. This integration brings Anaconda's secure, efficient, and robust Python packages directly inside Snowflake Notebooks to accelerate data science, machine learning, and AI development.
This integration extends Anaconda deeper into the Snowflake AI Data Cloud, enabling users to keep their data and development workflows within Snowflake's secure, scalable platform. By leveraging Anaconda's curated package repositories, users can meet strict security standards and easily manage package dependencies. This integration allows data scientists to focus on building and deploying models without the security concerns common with open source software.
“The integration of Snowflake Notebooks and Anaconda marks a major step forward in our mission to democratize Python and enable users to perform data science and AI tasks more efficiently,” said Peter Wang, co-founder and chief AI & innovation officer at Anaconda. “Combining the robust capabilities of Anaconda with the innovative features of Snowflake Notebooks will enable users to gain faster insights, streamline their workflows, and unlock new opportunities for collaboration and innovation on data science and AI projects without leaving the familiar Snowflake environment.”
Enhanced workflow and collaboration
Snowflake Notebooks, announced in November 2023, provides an all-in-one environment for data engineers, analysts, and data scientists to explore, analyze, and visualize data using Python and SQL. Features like native Git integration and scheduling allow users to collaborate on notebook files, manage version control, and schedule data processes, making data workflows more efficient and consistent.
Key features of Snowflake Notebooks include:
- AI/ML Development: Easily build end-to-end machine learning pipelines using a set of curated ML packages within Snowflake Notebooks.
- Collaboration tools: Use native Git integration to connect platforms like GitHub, GitLab, Bitbucket, and Azure DevOps to version control and collaborate on notebook files.
- Integrated Data Analysis: Manage your entire data workflow within a single intuitive environment. Access Snowflake platform capabilities and data sets directly within your notebooks.
“Snowflake Notebooks has simplified the experimentation process for developers to iterate on machine learning pipelines, leverage AI-powered editing, and streamline data engineering workflows in a familiar, intuitive, and powerful style,” said Amanda Kelly, director of Streamlit and product experience at Snowflake and co-founder and COO of Streamlit. “Our integration with Anaconda will further accelerate data analysis, development, and collaboration for developers at the forefront of innovation.”
Growing Ecosystem and Partnerships
Anaconda is committed to providing a secure repository of Python and R packages to users worldwide. Since 2022, enterprise use of Python packages has increased by 839%, growing Anaconda's user base to 43 million. Partnerships with Snowflake, IBM watsonx.ai, Lenovo, Python in Excel, Oracle Cloud Infrastructure, and Teradata have contributed significantly to this impressive growth and highlight Anaconda's commitment to providing high-performance, secure data science tools to a wide range of users.
As data science and AI continue to evolve, Anaconda and Snowflake are at the forefront of innovation, providing tools that empower users to unlock the full potential of their data. With Snowflake Notebooks, users can expect increased productivity, streamlined workflows, and robust security measures to facilitate advanced data science and machine learning projects.
To learn more about Snowflake Notebooks and experience the power of Anaconda integration, click here.
