Sharethrough builds software for delivering ads into the natural flow of content sites and apps, also known as native advertising. Analyzing interactions between viewers and content is crucial for Sharethrough to measure and improve the effectiveness of its platform which serves ads on some of the most influential digital properties including Forbes and People.
Sharethrough initially used Hive and self-hosted Hadoop clusters to meet its big-data processing needs, but found that productivity was impeded by the slow performance of Hive and the inefficiency of the self-hosted clusters.
Databricks has helped Sharethrough overcome those challenges by combining the power of Apache Spark™ with a zero-management hosted platform and an interactive workspace.
Benefits gained:
- Can easily experiment with data processing and aggregation to accelerate product development.
- Now able to quickly identify the root cause of production failures and minimize system downtime.
- Freed two full-time engineers to focus on core responsibilities rather than infrastructure management.