Snowflake Disrupts Application Development with General Availability of Snowpark for Python, Native Streamlit Support and More | Business

Snowflake Disrupts Application Development with General Availability of Snowpark for Python, Native Streamlit Support and More (Graphic: Business Wire)

Snowflake brings Python-based app development directly to the cloud

Streamlit, acquired by Snowflake in March 2022, enables tens of thousands of data scientists and other developers to easily build computer applications with Python using the open source framework. Following the acquisition, Snowflake is now promoting its Streamlit integration (in development), allowing developers to bring their data and machine learning (ML) models to life as secure, interactive applications – all within Snowflake.

Snowflake’s Streamlit integration will bring together Streamlit’s ease of use and flexibility, with Snowflake’s scalability, managed data coverage and security, allowing developers to build powerful applications without the traditional complexity associated with building and deploying web applications. The integration will allow developers to create applications with Python using their data in Snowflake, deploy and run those applications on Snowflake’s secure and managed platform, and share their applications with business teams to further unlock the value of data and ML models.

“ Streamlit serves as the interaction engine for the vast majority of our Data Science & Machine Learning models today, actively transforming how our teams build, deploy and collaborate on powerful applications with other stakeholders across the business,” said Sai Ravuru, GM Data Science & Analytics, JetBlue. “With Snowflake’s Streamlit integration, we can move from data to ML insights, all within the Snowflake ecosystem, where our data already resides, making it easier and safer for us to create powerful applications to further reduce the negative impact of flight disruptions, provide more predictability to our operational planning teams, and more customer customization to give our customers the best possible experience.”

Snowflake extends the power of Python to all users with the expansive Snowflake ecosystem

With Python the most popular language for data scientists and the 3rd 2 most popular language among all developers, Snowflake now makes Python and its rich ecosystem of open source libraries available to all users and teams with the general availability of Snowpark for Python. In the months since announcing the public preview and expanded Anaconda integration at Snowflake Summit 2022, Snowpark for Python has seen six-fold growth in adoption, with hundreds of customers including Charter Communications, EDF, NerdWallet, Northern Trust, Sophos and more building with their data. uses Snowpark.

With Snowpark as Snowflake’s developer framework, developers get a streamlined architecture that natively supports users’ programming languages, including Java, Scala, SQL, and now Python. Snowpark for Python is part of the wider Snowpark ecosystem, bringing teams together to collaborate and build on one unified platform with a highly secure Python sandbox, giving developers the same scalability, elasticity, security and compliance benefits that they have come. to expect when building with Snowflake. In addition, developers can eliminate data security and compliance roadblocks that have previously prevented projects from going into production. Snowflake also releases Snowpark-optimized warehouses (public preview in AWS), allowing Python developers to run large-scale ML training and other memory-intensive operations directly in Snowflake, and Python Worksheets (private preview) for developing applications, data pipelines, and ML models inside in Snowflake.

Partners like Anaconda, dbt Labs and more have been instrumental in accelerating the adoption of Snowpark for Python and allowing developers to build with confidence. These advancements include Anaconda’s integration with Snowpark for Python, which makes Anaconda’s open source Python libraries seamlessly available to Snowflake users by eliminating the need for manual installations and package dependency management. In addition, dbt’s new Snowpark for Python support effortlessly combines the power of SQL and Python for modern analytics, enabling customers to bridge the gap between analytics and data science teams.

“With Snowpark for Python, we can build a fully integrated data science ecosystem that empowers financial engineers, data scientists and business analysts to work with the full richness of their data to build and deliver custom analytics,” said William Wu, head of Quant Analytics, FOA. Northern Trust. “Snowpark enables us to collaborate on the same data as the rest of the business, so we can uncover and visualize new insights, and drive dynamic fact-based and data-driven investment decision-making for our clients.”

Snowflake simplifies streaming pipelines and drives increased automation and observability for developers

Snowflake also reimagines how users build data pipelines, making it easier to work with streaming data within a single platform, further eliminating silos for customers. To do so, Snowflake equips them with the capabilities needed to eliminate complexity while leveraging core software development principles. Users can now improve productivity by integrating data faster with Schema Inference (private preview), and execute pipelines seamlessly with Serverless Tasks (general availability) built into Snowflake’s platform. In addition, Snowflake unveils enhanced tools that empower developers to embed the cloud, including:

• Dynamic Tables (Private Preview): Previously introduced as materialized tables, Snowflake removes the boundaries between streaming and batch pipelines by automating incremental processing through the development of declarative data pipelines for coding efficiency and simplicity. This also simplifies use cases, including changing data capture and snapshot isolation, and is native to Snowflake so it can be shared across all Snowflake accounts with full security and governance.
• Observability and experiences: To further address the needs of developers, Snowflake is investing in native observability and developer experience features to enable them to build, test, debug, deploy and monitor data pipelines with increased productivity through alerting (private preview), logging (private preview), event tracking ( private preview), task graphs and history (public preview) and more.

“As we continue to disrupt application development, we provide builders with the data access and tools they need to accelerate their pace of innovation securely under Snowflake’s single platform,” said Torsten Grabs, director of product management, Snowflake. “Snowflake’s advancements empower developers to build powerful applications, pipelines and models with the utmost confidence, eliminating complexity so they can drive value across their organizations with the cloud.”

Additional support offers:

“ Snowpark for Python has created new opportunities and use cases for our team to build and deploy secure and compliant data pipelines on Snowflake, so we can more effectively provide our customers with the tools needed to manage all aspects of their financial journey, says Sathish Balakrishnan. , director of data engineering, NerdWallet. “Snowflake’s continued investment in Python gives us the flexibility to code in our programming language of choice, accelerating the speed of innovation for our end users.”

“Our mission is to fundamentally protect the customer as best we can, as efficiently as we can, and Snowpark for Python allows our team to build better detection models so we can do just that,” said Konstantin Berlin, Head of Artificial Intelligence, Sophos. “Everything in our industry revolves around Python, and Snowpark provides our data scientists with simple maintainable and traceable code, allowing us to significantly increase the pace of innovation.”

• Learn more about how Snowflake enables all teams and users to build with confidence using Snowpark for Python, here.
• Get started with Snowpark for Python today with this quickstart guide, here.
• Watch the Snowflake Snowday 2022 keynotes live or on demand, here.

Forward-looking statements

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services and technology offerings, including those that are under development or not generally available, (iii) market growth, trends and competitive considerations, and (iv) integration, interoperability and availability of Snowflake’s products with and on third party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the quarterly reports on Form 10-Q and the annual reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties and assumptions, actual results may differ materially and adversely from those expected or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.

© 2022 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature, and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be trademarks of their respective holders. Snowflake may not be associated with, or be sponsored or endorsed by, any such holders.

Snowflake enables any organization to mobilize its data with Snowflake’s Data Cloud. Customers use the cloud to unify siled data, discover and share data securely, and perform various analytical workloads. No matter where data or users live, Snowflake delivers a single computing experience that spans multiple clouds and geographies. Thousands of customers from many industries, including 510 of the 2022 Forbes Global 2000 (G2K) as of July 31, 2022, use Snowflake Data Cloud to run their businesses. Learn more atsnowflake.com.

Product PR Lead, Snowflake

KEYWORDS: USA NORTH AMERICA CANADA CALIFORNIA MONTANA

INDUSTRY KEYWORDS: SOFTWARE INTERNET ARTIFICIAL INTELLIGENCE DATA PROCESSING TECHNOLOGY APPS/APPLICATIONS MOBILE/WIRELESS SECURITY

Copyright Business Wire 2022.

PUB: 11.07.2022 12:20 PM/DISC: 11.07.2022 12:21 PM