Case Study: Slack achieves faster critical revenue metrics with Matillion ETL for Snowflake

Slack cuts critical revenue metric creation from 6 hours to 30 minutes with Matillion

Slack, a computer software company, faced challenges with its outdated data architecture. Its data warehouse did not support incremental loads, resulting in data that was 30 hours old by the time it reached teams. The ETL processes were also resource-intensive, relying on custom Python and Airflow scripts that were not scalable. To modernize its stack, Slack selected Matillion ETL for Snowflake.

The solution from Matillion enabled Slack to take full advantage of the Snowflake data platform. Using Matillion's pre-built connectors and reusable components, Slack significantly reduced the need for custom code and streamlined data extraction. The results were substantial: the time to create critical revenue metrics was reduced from up to 6 hours to just 30 minutes, and the new system requires less maintenance, allowing a team of just two people to manage it.

Slack