SQream Blue’s New Native Snowflake Connector

Easily offload your data-intensive and complex tasks to SQream Blue, no excessive data transfer is required! 

We’re excited to announce the launch of our native Snowflake connector for Blue, our cutting-edge cloud data lakehouse. This integration delivers unparalleled performance accelerated by GPUs efficiency when interacting with Snowflake data directly.

Our new connector leverages a C++ Snowflake library to establish a direct and optimized connection between Blue and Snowflake. This eliminates the need for intermediate data transfers or complex ETL processes, significantly improving query performance and reducing operational overhead. Moreover, we implemented a pushdown filter mechanism to minimize redundant data read from Snowflake.   

Key Benefits

• Unmatched performance: No data export is needed, easily test Blue’s cost-performance over Snowflake-managed data to witness the brute force of GPU-acceleration. 
• Seamless integration: Treat Snowflake tables as native objects within Blue, simplifying data access and management.
• Reduced costs: Optimize resource utilization by offloading specific costly workloads from Snowflake, lowering overall cloud bill.
• Enhanced flexibility: Gain greater control over data movement and processing by leveraging the strengths of both platforms.

How it Works

Our native connector establishes a robust connection between Blue and Snowflake, allowing users to:

• Query Snowflake data directly: Execute SQL queries against Snowflake tables as if they were local to Blue.

• Write data to Snowflake: Seamlessly load data from Blue into Snowflake for analysis or reporting.

• JOIN Snowflake and Blue data: 

Performance Boost

Extensive testing has demonstrated that our native connector delivers significantly improved performance for your most data-intensive and complex workloads. 

Benchmark Results (Snowflake)

Benchmark Results (Databricks)

Getting Started

Schedule a personalized demo with one of our experts.