Snowflake’s Data Cloud is powered by a cutting-edge data platform that is offered as a fully managed service.
Snowflake features a new SQL query engine, and a unique architecture designed specifically for the cloud. It offers all the functionalities of an enterprise analytic database.
Leveraging the infrastructure and services of major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Snowflake offers a state-of-the-art data warehousing and analytics platform. With such versatile functionalities, Snowflake can be used for a variety of different data-related business needs:
- Data Warehousing and Data Management
- AI/ML and analytics
- Data Visualisation
Data Warehousing and data management:
Snowflake offers a data warehouse that provides a unified platform for data management, sharing, engineering and analytics. Snowflake data warehousing and management services provides following features:
Cloud-Native Design
Built specifically for the cloud, leveraging the scalability and flexibility of cloud infrastructure.
Data Management and Analytics
Supports storage and analysis of both relational and non-relational data types. Provides a unified repository for diverse data formats within the same ecosystem.
Scalability and Elasticity
Highly scalable and fully elastic, adapting to varying workloads and data volumes.
Integrated Services
Includes a comprehensive layer of services for security, governance, data sharing, metadata management, and transaction management.
Low administration efforts
Minimal administrative overhead for infrastructure management.
Efficient Data Sharing
Facilitates easy and secure data sharing, reducing the need for complex ETL processes.
Consistency Across Analytic Projects
Ensures data consistency and governance across all types of analytic projects, enhancing data integrity and usability.
Seamless data integration
Snowflake supports connections to and from various sources like AWS, Azure Cloud, Google Cloud Platform (GCP) and others thus, facilitating easy data sourcing and migration to and from the snowflake platform.
AI/ML and analytics:
Snowflake provides two main categories of advanced features powered by Artificial Intelligence (AI) and Machine Learning (ML).
Snowflake Cortex is a collection of AI features that utilize large language models (LLMs) to interpret unstructured data, respond to natural language queries, and offer intelligent assistance. The suite includes:
- Snowflake Cortex LLM Functions
- Universal Search
- Snowflake Copilot
- Document AI
- Cortex Fine-tuning
- Cortex Search
Snowflake ML offers tools to help you develop your own models. The ML Functions simplify the creation and deployment of traditional machine learning models, allowing users to identify patterns in structured data.
For custom models, Snowpark ML provides an environment for creating solutions tailored to specific data challenges, all within the Snowflake platform.
With Snowflake's AI capabilities, you retain full control over your data, ensuring:
Security: All AI models operate within Snowflake's secure and governed environment.
Data Privacy: Snowflake does not use your customer data to train models that are available to other customers.
Control: You manage access to AI features through familiar role-based access controls, maintaining oversight of your team's use of these tools.