Case Study: Labelbox achieves real-time billing and faster data engineering with Databricks

Labelbox - Customer Case Study

Labelbox, an AI company building products to support consumption-based billing, needed a way to ingest streaming usage data without slowing down its lean data team or adding complexity to its existing stack. The company chose the Databricks Data Intelligence Platform to power real-time data ingestion and billing workflows.

Databricks helped Labelbox implement Spark Declarative Pipelines, medallion-style data processing, and Databricks SQL to clean, aggregate, and serve billing data without moving it through multiple systems. The results were significant: Labelbox stood up streaming ingestion in about 45 minutes instead of roughly a week, reduced development time by 95% for the data team, and was able to build an API for billing and dashboards in just a couple of days.

Labelbox

Kahveh Saramout

Senior Data Engineer