At Wix, our Data Warehouse (DWH) is a massive repository of insights. Built on Amazon S3 using Apache Iceberg table formats, and populated by Trino and Spark jobs, it houses petabytes of data—from user segmentation and logs to AI chat analytics. However, storage is only half the battle. The real challenge—and the "holy grail" for many data engineering teams—is Activation : taking that petabyte-scale data and exposing it to backend microservices with millisecond latency, high

In Part 1 ( read here ), we shared how we built the foundations for cost-efficiency at Wix’s data platform: creating visibility into...

Introduction At Wix, we are constantly evolving our data infrastructure to stay ahead of the curve. As our data workloads grew, we wanted...

In this post, we share the journey of optimizing the data platform at Wix, which led to a 50% reduction in monthly data platform costs. The goal was to implement a more cost-effective system while maintaining performance and scalability. The challenges were substantial, including the complexity of managing data across multiple cloud providers, tracking resource usage, and developing a unified pricing model for diverse data assets. Background We, the Data Infra group at Wix bu