Case Study: StockGro achieves scalable, zero-maintenance data pipelines with Hevo Data

StockGro Upgrades to Hevo for Reliable, Maintenance-free, and Scalable Data Replication, Saves Engineering Bandwidth

StockGro, a social investment platform with over 5 million users, was struggling with its self-built, on-premise data pipelines. Their previous solution, built on self-hosted Airflow, required 5-10 hours of maintenance each week. It couldn't handle their exponential data growth, was slow, missed data syncs, and couldn't manage schema updates automatically, creating a major bottleneck for their team.

The company implemented Hevo Data's automated data pipeline platform to resolve these issues. The solution provided zero maintenance through Hevo's fault-tolerant architecture and auto schema mapping. This freed the team to focus on analysis instead of pipeline upkeep. As a result, StockGro achieved a maintenance-free process and experienced seamless 5x data growth while Hevo maintained consistent data accuracy and syncing speed.

StockGro

Raman Tehlan

Founding Engineer