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Snowflake allows users to connect to third-party and SaaS data through Snowflake Marketplace, pre-built connectors and through supporting various data integration tools, simplifying data acquisition and enrichment of existing data.
Snowflake’s data sharing allows you to share live access to your data with other teams or organizations without physically moving or copying it. The zero-ETL data sharing means consumers access the most current data directly, with governance and access controls managed by the data provider. Reader accounts can be used for consumers without a Snowflake account.
Snowflake's zero-copy cloning instantly creates copies of your databases, schemas, or tables without duplicating the underlying data. For application development, this means developers can quickly get isolated, production-like environments for development, testing and CI/CD, significantly speeding up deployment cycles and reducing storage costs.
Snowflake Data Clean Rooms enable multiple parties to combine and analyze their data for joint insights without directly exposing or sharing raw, sensitive information with each other. Key benefits include enhanced privacy, the ability to derive richer insights from combined datasets, and increased security, as all analysis happens within a controlled environment.
Key advantages include:
Simple and secure data sharing: Zero-ETL sharing eliminates data silos and complex pipelines.
Faster development: Zero-copy cloning accelerates dev/test cycles for applications.
Monetization and discovery: Snowflake Marketplace allows discovering and monetizing data and applications.
Reduced complexity: A unified platform for data, applications, and AI streamlines architecture.
Snowflake reduces ETL costs and complexity through:
Secure data sharing eliminates the need to build and maintain ETL pipelines for sharing data, as consumers access live data directly.
Snowflake Marketplace provides direct access to third-party data, reducing integration efforts.
Zero-copy cloning lowers storage costs and speeds up environment provisioning for development and testing, avoiding data duplication.
Connectors and native integration simplify connecting to various data sources.
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