Case Study: Yesware cuts deployment time to 3 weeks, doubles data throughput and reduces AWS costs by 90% with Databricks

Yesware - Customer Case Study

Yesware provides email-integrated analytics that help sales teams track engagement and generate customizable reports from hundreds of gigabytes of interaction data per day. Their original Apache Pig data pipeline was slow, hard to maintain, prone to silent failures, and not scalable enough to meet customers’ needs for low-latency, flexible reporting.

Yesware replaced Pig with Apache Spark on Databricks, using Databricks’ cluster manager, interactive workspace, and job scheduler to simplify deployment and operations. As a result they cut deployment time from six months to three weeks, processed twice the data in one-sixth the time (e.g., 180 days in 2 hours vs. 90 days in 12 hours previously), reduced AWS infrastructure costs by about 90%, and sped up feature prototyping from days to hours.

Yesware

Justin Mills

Data Team Lead, Yesware