Abstract:
Explore how Snowflake and Apache Iceberg complement each other to create a unified data architecture that combines the flexibility of open formats with Snowflake’s analytics power.
Key Points:

The Snowflake Data Cloud makes it easy to execute big data workloads using numerous file formats, including Parquet, Avro, ORC, JSON, and XML. While Snowflake’s internal, fully managed table format greatly simplify the storage maintenance like encryption, transactional consistency, versioning, fail-safe, and time travel, , some organizations with regulatory or other constraints either are not able to store all of their data in Snowflake or prefer to store data externally in open formats. Apache Iceberg is currently supported in public preview by the Snowflake Data Cloud with Iceberg Tables. Iceberg Tables combine the performance and familiar query semantics of Snowflake tables with customer-managed cloud storage.

Loading Iceberg tables into Snowflake.
Using Snowflake’s Data Cloud for Iceberg-managed datasets.
Scenarios where this combination outperforms standalone solutions.