Announced in March, Snowflake introduced exciting new releases, including advancements in AI and ML with new features in Snowflake Cortex, enhanced governance and privacy features in Snowflake Horizon, and expanded developer support with the Snowflake CLI. Continue reading to discover more about everything unveiled last month.
Snowflake Cortex
LLM Functions – in public preview
Snowflake Cortex is an intelligent, fully managed service that provides cutting-edge large language models (LLMs) as serverless SQL/Python functions. With Snowflake Cortex, teams can utilize task-specific functions to efficiently execute complex tasks like translation, sentiment analysis, and summarization at a low cost and without the need to set up integrations, move data, or provision GPUs. Additionally, teams can leverage the complete function to run custom prompts using LLMs from Mistral AI, Meta, and Google to build custom apps. Learn more about Snowflake Cortex.
Streamlit
Streamlit 1.26 – in public preview
Snowflake now supports Streamlit version 1.26, offering users more options for building data apps directly within Snowflake’s secure environment. This update introduces new features like st.chat_input and st.chat_message, enabling the creation of conversational interfaces in data apps. Users can interact with data applications using natural language, enhancing accessibility and user-friendliness. Additionally, Streamlit 1.26.0 allows for the development of interactive data visualizations and dashboards. Explore the Snowflake documentation to learn more and get started.
Snowflake Horizon
Sensitive Data Custom Classification – in public preview
In addition to standard classifiers, Snowflake customers can now create their own classifiers using SQL with custom logic to identify sensitive data specific to their organization. This enhancement offers greater flexibility in data classification, enabling customers to detect and classify more data effectively. Learn more about this feature.
Data Quality Monitoring – in public preview
Data Quality Monitoring in Snowflake provides built-in metrics such as null counts, time since the object was last updated, and count of rows inserted into an object. Customers can create custom metrics to monitor data quality and set up automatic measurement frequencies and alerts for quality violations. Discover more about Data Quality Monitoring.
Snowflake Data Clean Rooms – now generally available in select regions
Customers in AWS East, AWS West, and Azure West can now access Snowflake Data Clean Rooms, enabling secure data collaboration for both technical and non-technical users. Snowflake Data Clean Rooms are a Snowflake Native App available on Snowflake Marketplace, offering a seamless way to utilize data clean rooms without additional access fees. Learn more about Snowflake Data Clean Rooms in this blog post.
DevOps on Snowflake
Snowflake CLI – public preview
The new Snowflake CLI is an open-source tool that provides developers with a flexible interface for managing application lifecycles across various workloads within Snowflake. Features include user-defined functions, stored procedures, Streamlit integration, and direct SQL execution. Learn more about the Snowflake CLI.
Snowflake Marketplace
Snowflake Marketplace offers access to over 2,500 third-party data, apps, and AI products in one place. As of April 10, 2024, the following providers launched on Marketplace in March:
AI/ML Products
– Brillersys – Time Series Data Generator
– Atscale, Inc. – Semantic Modeling Data
– paretos GmbH – Demand Forecasting App
Connectors/SaaS Data
– HALitics – eCommerce Platform Connector
Developer Tools
– DataOps.live – CI/CD, Automation, and DataOps
– Select Labs US Inc. – Snowflake Performance & Cost Optimization
– Foreground Data Solutions Inc – PII Data Detector
– CareEvolution – Data Format Transformation
– Merse, Inc – Snowflake Performance & Cost Optimization
– Qbrainx – Snowflake Performance & Cost Optimization
– Yuki – Snowflake Performance Optimization
– DATAN3RD LLC – Data Quality App
Third-Party Data Providers
– Upper Hand – Sports Facilities & Athletes Data
– Sporting Group – Sportsbook Data
– Quiet Data – UK Company Data
– Manifold Data Mining – Demographics Data in Canada
– SESAMm – ESG Controversy Data
– KASPR Datahaus – Internet Quality & Anomaly Data
– Blitzscaling – Blockchain Data
– Starlitics – ETF and Mutual Fund Data
– SFR Analytics – Geographic Data
– SignalRank – Startup Data
– GfK SE – Purchasing Power Data
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Forward-Looking Statement
This post contains forward-looking statements regarding Snowflake’s business strategy, products, services, technology offerings, market growth, trends, and competitive considerations. Actual results may differ from these statements due to various risks and uncertainties. Refer to Snowflake’s SEC filings for more information on these risks. Snowflake, the Snowflake logo, and all Snowflake product names are trademarks of Snowflake Inc. Other brand names mentioned are for identification purposes only. Snowflake is not associated with or endorsed by these brands.
© 2024 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 the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).
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