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This guide shows how to sink data from RisingWave into an Apache Iceberg table and make it available for querying in Snowflake. This integration allows you to use RisingWave for real-time stream processing and Snowflake for large-scale analytics and data warehousing. How it works RisingWave → Iceberg table on S3 → AWS Glue or REST Catalog → Snowflake

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Prerequisites

  • A running RisingWave cluster.
  • A Snowflake account.
  • An AWS S3 bucket to serve as the Iceberg warehouse.
  • A configured Iceberg catalog (either AWS Glue or a REST-compatible catalog).

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Step 1: Sink data from RisingWave to Iceberg

Create a SINK in RisingWave that writes to your Iceberg table. For upsert streams, you must use the copy-on-write mode. Snowflake cannot read Iceberg tables that use the merge-on-read format with delete files.
  • Using AWS Glue Catalog
  • Using REST Catalog
CREATE SINK snowflake_glue_sink FROM my_mv
WITH (
    connector = 'iceberg',
    type = 'upsert',
    primary_key = 'id',
    warehouse.path = 's3://my-bucket/warehouse',
    database.name = 'my_database',
    table.name = 'my_table',
    catalog.type = 'glue',
    s3.access.key = 'your-access-key',
    s3.secret.key = 'your-secret-key',
    s3.region = 'us-west-2',
    -- Required for upsert streams to be readable by Snowflake
    write_mode = 'copy-on-write'
);

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Step 2: Query from Snowflake

Follow the official Snowflake documentation to configure a catalog integration and create an external Iceberg table that points to your data in S3. Once configured, you can query the Iceberg table directly from Snowflake.