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USE CASE
Accelerate your open lakehouse
Architect without compromise. Snowflake’s native support for open source standards unifies data while preserving flexibility and choice. Build or securely scale a high-performing lakehouse to breakdown silos, minimize operational overhead, and accelerate time-to-value with the AI Data Cloud.
Unlock secure multi-engine access
Enjoy full security and governance within Snowflake and manage secure multi-engine access with a vendor-neutral catalog.
Simplify your data lifecycle
Unify data across regions, clouds and catalogs. Transform it into governed data products, ready to share and empower any team.
Get to value faster
Deliver AI and advanced analytics in any language or interface with a serverless, autoscaling engine that just works.
Know and protect your data
Built-in data governance, security and discovery for your Iceberg tables in the AI Data Cloud
- Instantly search, discover and access data, apps and models.
- Protect and audit your data, apps and models with data tags, data quality monitoring and data lineage.
- Secure your environment with continuous risk monitoring and vulnerability management.
Enable secure, interoperable access
Manage access and security to enable true interoperability with Snowflake’s Managed Service for Apache Polaris
- Establish a truly vendor-neutral foundation for your lakehouse with a managed service for Apache Polaris.
- Implement consistent, centralized security with role-based access controls for your Iceberg tables.
- Integrate your enterprise identity providers for seamless authentication flows (SSO, SAML 2.0, OAuth) and establish secure, private network connectivity among your engines, tools and Open Catalog with PrivateLink.
Activate all your Iceberg tables
Build a single connected and governed view of your open lakehouse
- Connect Open Catalog — or any Iceberg REST Catalog — to automatically discover, refresh, read from and write to any Iceberg tables directly within Snowflake.
- Easily apply comprehensive security and governance to all your Iceberg tables with a few clicks within Snowflake with Horizon Catalog.
- Instantly deliver governed Iceberg data to any stakeholder, across regions and clouds, free from infrastructure complexity.
Power AI and data-driven decisions
Deliver insights and AI to your business faster:
Develop AI data agents and define ML workflows with a suite of AI services built on the same governance framework as your lakehouse data.
Perform advanced analytics such as forecasting, anomaly detection, sentiment analysis and more with support for complex data types, including semi-structured and geospatial,* in your Iceberg tables.
Power near real-time data analysis for dashboards and applications with a zero-tuning compute engine that just works.
Build and automate your workflows
Integrate, process and optimize your Iceberg tables:
- Visually integrate data from any source using Openflow, or load batch and streaming data with Snowpipe, Snowpipe Streaming or COPY.
- Build declarative pipelines that incrementally and automatically transform data with Dynamic Iceberg Tables — while maintaining full interoperability.
- Automate table maintenance tasks like compaction and garbage collection,* and optimize performance for any engine by defining file sizes and partitions.
Get Started With Iceberg and open catalog
Follow along with these tutorials to get hands-on learning with Iceberg and Polaris.
