// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Snowflake ML
Refers to the machine learning capabilities and integrations available directly within the Snowflake data cloud platform.
TECHNICAL DEFINITION
Snowflake ML encompasses the machine learning functionalities and integrations within the Snowflake Data Cloud, allowing users to build, train, and deploy ML models using data stored directly in Snowflake, leveraging features like Snowpark for Python/Scala/Java and external integrations for MLOps.
BACKGROUND
Julia is a dynamic general-purpose programming language. As a high-level language, distinctive aspects of Julia's design include a type system with parametric polymorphism, the use of multiple dispatch as a core programming paradigm, just-in-time compilation and a parallel garbage collection implementation. Notably, Julia does not support classes with encapsulated methods but instead relies on the types of all of a function's arguments to determine which method will be called.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Snowflake Data Cloud ML
- Snowpark ML
- In-database ML
- Snowflake AI
USAGE NOTE
Enables data scientists to perform ML directly on their data within Snowflake, reducing data movement.
DEVELOPERS
Organizations developing technology related to Snowflake ML.
The creator of the Snowflake Data Cloud. Snowflake develops the core ML infrastructure, including Snowpark for Python/Java/Scala execution, Snowflake Cortex AI for serverless AI models, and integrations with acquired technologies like Streamlit for app development.
A strategic partner providing GPU acceleration and AI software for the Snowflake Data Cloud. The partnership enables developers to build and run custom AI models using NVIDIA's AI Enterprise software directly within the Snowflake ecosystem.
An enterprise AI platform offering automated machine learning (AutoML). DataRobot integrates with Snowflake to allow users to build models and then deploy them directly into Snowflake for in-database scoring and operations via Snowpark.
A platform for Everyday AI that provides a centralized environment for data science projects. Dataiku features deep integration with Snowflake, enabling users to push down data preparation and ML model training workloads to run natively in Snowflake using Snowpark.
A collaborative data science and analytics platform designed for the modern data stack. Hex offers a notebook-based interface that integrates natively with Snowflake, allowing teams to query data and build machine learning models using Snowpark.
An AI and machine learning platform provider. H2O.ai integrates with Snowflake to allow data scientists to train models with their tools (like Driverless AI) and deploy them for in-database scoring, leveraging Snowflake's scalable compute.
A data analytics and process automation company. The Alteryx platform integrates with Snowflake to perform in-database analytics and machine learning, allowing users to build ML models and execute them directly within Snowflake.
An AI-powered analytics company. ThoughtSpot integrates with Snowflake to allow users to run live queries and leverage its search and AI capabilities (ThoughtSpot Sage) directly on data within the Snowflake platform, often utilizing Snowpark for execution.