Case Study: Gamoshi Achieves 75% Architecture Savings and Faster Data Pipeline Changes with Upsolver

Gamoshi Saves 75% on Agile Pipelines with Upsolver and AWS

Gamoshi, an online advertising startup building an advertising platform service, needed a faster way to deliver real-time analytics data to customers as requirements changed. Its existing Google Dataflow pipelines were rigid, highly manual, and could take weeks to modify because changes required specialized engineering skills and extensive testing.

With Upsolver on AWS, Gamoshi connected streaming data from Amazon Kinesis into Upsolver’s SQL-based, visual pipeline environment, then delivered processed data into S3, Upsolver Lookup Tables, and Amazon Redshift. Upsolver helped the team make pipeline changes in hours instead of weeks, reprocess data when needed, and cut architecture spend by 75%, while giving non-developers a simpler way to manage analytics workflows.

Gamoshi

Moshe Moses

Chief Executive Officer