Apache Iceberg has emerged as a powerful open table format that enables organizations to store, manage and access large-scale datasets efficiently across multiple query engines. By decoupling storage from compute and supporting ACID transactions, Iceberg provides a foundation for data interoperability, allowing businesses to leverage multiple platforms to meet different analytical needs. Organizations increasingly adopt hybrid and multi-cloud architectures, requiring flexible solutions that integrate seamlessly with various data platforms. SingleStore provides native support for Apache Iceberg, enabling organizations to use it as a high-performance analytics engine for Iceberg-managed data. This allows for acceleration of BI and customer-facing analytics, low-latency application layer, and fast query execution making it suitable for serving data directly to applications that require millisecond-level response times. Snowflake acts as the data owner, storing Iceberg tables backed by S3 storage in AWS while SingleStore Helios accelerates analytics by ingesting the data into its high-performance engine. The setup involves creating an IAM policy, role, and external volume, configuring Snowflake's catalog, setting up SingleStore with pipelines to load data from S3, and testing the pipelines. This architecture enables cost-effective data warehousing and high-performance analytics, making it suitable for modern data architectures.