Matillion ETL for Snowflake Case Study:

To better handle increasing data volumes Upside moved from their existing data warehouse to Snowflake, a cloud-based data warehouse perfect for their use case

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Background

Upside, an online travel service for business travelers, generates a lot of data. To better handle increasing data volumes they moved from their existing data warehouse to Snowflake, a cloud-based data warehouse perfect for their use case. When they moved, they were able to continue using Matillion ETL for data loading, orchestration, and transformation. This helped to make the transition smooth and seamless.

The Challenge

Upside ingests over 3TB of raw flight/hotel inventory on a daily basis. The result, a lot of data and a lot of data processing. Suffering from concurrency, degraded performance, and high costs, Upside determined that Snowflake could keep up with the large amounts of data that they needed to ingest in a more cost efficient way. 

 

The Solution

Snowflake


  • Smooth integration with eco-system technologies
  • Cost efficient
  • Performance
  • Unlimited concurrency

Matillion ETL


  • 14-day free trial for proof of concept
  • Powerful
  • High quality technical support
  • Purpose built for the cloud