Case Study: Order Editing replaces a failing DynamoDB analytics pipeline with Tinybird

Order Editing replaces DynamoDB with Tinybird to power 3M events/day for ~$300/month

Order Editing, a Shopify app processing over $5B in GMV, faced significant challenges with its custom DynamoDB analytics pipeline. The system produced inconsistently wrong data, leading to merchant support tickets and consuming roughly 50% of the three-person engineering team's bandwidth for debugging and reconciliation issues. To achieve reliable, queryable analytics for their dashboards, they turned to the data platform Tinybird.

By implementing Tinybird, Order Editing built a new pipeline that ingests 3 million events per day for approximately $300 per month. The solution provided fast, API-driven analytics that eliminated data reconciliation failures and freed the team to build new features. The migration resulted in reliable numbers for enterprise merchants, the elimination of support tickets related to bad data, and allowed a small team to run analytics infrastructure without a dedicated data engineer.

Order Editing