Case Study: Unify achieves real-time GTM scale with Apache Pulsar and StreamNative Cloud

Unify processes tens of millions of events daily with StreamNative

Unify, an AI-native go-to-market platform, faced significant scaling and operational challenges with its initial AWS SQS and batch job architecture. Their lean engineering team struggled with a lack of message replayability, clunky pub/sub implementation, and lagging operational visibility, which hindered their ability to deliver real-time insights. To overcome these limitations and build a robust, event-driven foundation, they partnered with vendor StreamNative and adopted their fully managed StreamNative Cloud service.

By implementing StreamNative Cloud, which is built on Apache Pulsar, Unify consolidated multiple use cases onto a single, scalable platform. The solution provided true pub/sub for easy fan-out, built-in message retention for replayability, and delayed message delivery to eliminate cron jobs. The results were substantial: Unify achieved a 20x improvement in monitoring metric latency (30 seconds vs. 10 minutes) and now seamlessly processes tens of millions of events daily. StreamNative's solution provided a hands-off, resilient infrastructure that enabled real-time customer interactions and ensured zero downtime during major cloud outages.

Unify