Yes, Snowflake can process real-time streaming data from Snowplow using multiple approaches:

• Snowpipe Streaming: Provides sub-second to few-second latency for continuous data ingestion directly from Snowplow event streams
• Dynamic Tables: Enable incremental processing of streaming data with SQL-based transformations that automatically refresh as new data arrives
• Streams and Tasks: Allow Snowflake to track changes and trigger processing workflows as Snowplow event data is ingested

You can stream data from Snowplow into Snowflake through real-time data pipelines like Kafka or Kinesis, and use Snowflake's streaming capabilities to perform analytics, transformations, and aggregations on the event data as it arrives. This enables use cases like real-time dashboards, fraud detection, and immediate customer insights.