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POWER YOUR OPEN DATA LAKEHOUSEWITH SNOWFLAKE
You choose how to use Snowflake and your tools. Zero lock-in, all open, all governed.
Apache Polaris is currently undergoing incubation at the Apache Software Foundation
Reduce overhead
A fully managed service means infrastructure is easy to manage, which minimizes overhead complexity and cost.
Empower your team
With diverse user interfaces, your team can interact with data their way to be most effective.
Simplify pipelines
Replace costly, complex pipelines with live, secure sharing for data, models and apps.
OPEN, INTEROPERABLE STORAGE
Store data using the leading open source standard table format, Apache Iceberg. No upfront ingestion costs required for integrating Snowflake with existing Iceberg datasets.
FREE YOUR ORGANIZATION FROM CATALOG LOCK-IN
Apache Polaris (incubating) is an open source catalog for Apache Iceberg.
- Read and write interoperably from any engine that supports Iceberg’s open source REST API
- Manage security access controls for many engines in one place
- Run in your own infrastructure with containers or in Snowflake infrastructure without lock-in. If you want to swap your underlying infrastructure, you keep all RBAC, namespaces and table definitions from Polaris Catalog
MIX AND MATCH DATA ENGINEERING, AI AND MACHINE LEARNING
Integrate the Snowflake platform for data engineering and AI with Iceberg tables.
- Power batch and streaming pipelines into Iceberg tables
- Orchestrate change data capture (CDC) with Streams and Tasks
- Build low-latency, declarative pipelines with Dynamic Tables
- Analyze and process text data with Snowflake Cortex AI
- Generate predictions with Snowflake Cortex ML functions and Snowpark ML
- Transform data in Python, Java or Scala with Snowpark
KNOW AND PROTECT YOUR DATA WITH ADVANCED GOVERNANCE
Extend Apache Iceberg tables to fine-grained security and privacy in Snowflake with Horizon Catalog.
- Monitor sensitive data for compliance, discovery, protection and resource usage with Object Tagging
- Enforce column- and row-level security with Dynamic Data Masking and Row Access Policies
- Automate masking policy enforcement with tag-based masking
- Protect sensitive data while retaining analytical value with Aggregation and Projection Policies
- Easily collaborate on sensitive data with multiple teams inside and outside your organization with Snowflake Data Clean Rooms
- Use built-in, ready-to-query views to perform regulatory compliance and auditing, understand lineage, usage patterns and relationships
GET COST-EFFECTIVE PERFORMANCE
Power highly concurrent workloads without resource contention.
See near-zero performance tradeoffs between Snowflake-managed Apache Iceberg tables and ingested Snowflake-format tables
You’re only charged for what you use thanks to consumption-based pricing
Automatically scale compute resources based on workload requirements
Compute isolation minimizes resource contention
Control spend with Budgets and Resource Monitors
Ongoing performance improvements and cost optimization means your price for performance only gets better
Get Started With Iceberg AND POLARIS
Follow along with these tutorials to get hands-on learning with Iceberg and Polaris.
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