Marketing Personalization · Real-time Analytics
Wix needed a streaming architecture that could keep up with billions of daily business events, expose fresher analytics to internal and external developers, and eliminate batch and Kafka operations bottlenecks.
Reported impact
Wix gave developers and internal teams fresher user-behavior analytics, reduced Kafka operations burden and downtime, and created a scalable foundation for personalization, experimentation, and AI-enhanced product experiences.
Wix migrated from self-managed Kafka to Confluent Cloud and built a real-time data engine that serves analytics, AI, and user-facing developer experiences across a multicloud environment. Events from across the business stream into the platform at massive scale, where Stream Governance keeps them trustworthy and Confluent Cloud for Apache Flink filters, aggregates, and joins them for downstream consumption. Those pipelines power Wix Analytics, a user-facing product that exposes near-real-time behavior data to site builders, while also feeding internal personalization, experimentation, and AI or machine learning use cases. ClickHouse receives streaming analytics outputs for KPI measurement and product feedback loops. By shifting away from batch processing on S3 and self-managed Kafka operations, Wix lowered downtime and operational burden while preserving the elasticity needed to process more than 30 billion daily business events for roughly 288 million users.
Business events stream into Confluent Cloud from across Wix, are governed and transformed with Flink, written into ClickHouse for KPI and analytics workloads, and then exposed through Wix Analytics and internal AI or personalization systems in near real time.
At this scale, offloading operations to Confluent has made it easier for the Backend Infrastructure team to ensure reliable service to Wix customers.
Once those events are streamed into Clickhouse via the streaming analytics data pipeline, they can be used to measure against key performance indicators.
Today, data from every corner of the business streams through Confluent, ready to be governed and then filtered, aggregated, and joined with Flink.
Wix is able to implement these use cases at massive scale - processing more than 30 billion daily business events across regions and clouds.
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Scoring methodology
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Traceability
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