Snowflake Introduces Snowpipe Data Loading

Snowflake Computing has announced the public preview of Snowpipe, an automated service to load data into the Snowflake cloud data warehouse.

The service is built using Amazon SQS and other Amazon Web Services (AWS) solutions.

Snowpipe capitalizes on Amazon S3, Amazon EC2 and Amazon SQS to continuously load an organization's data into Snowflake, said Snowflake VP of Alliances Walter Aldana, noting that many organizations require fresh and accurate data be delivered in seconds or minutes, not hours or days.

Leveraging Amazon S3, Amazon Elastic Compute Cloud (Amazon EC2) and other AWS services, Snowflake also separates storage, compute and services into three separate layers

Snowpipe overcomes the barriers of legacy solutions by promptly providing data to business users without workload contention.  In addition, organizations only for the per-second compute utilized to load data instead of running a warehouse continuously or by the hour. And, technical resources can interface directly with the programmatic REST API, using Java and Python SDKs to enable highly customized loading use cases.

Snowpipe is available for public preview on request and will be offered in open public preview starting December 8. To find out more about Snowpipe, click here.

For more information about Snowflake, go to