TL;DR
Kafka Streams enables real-time stream processing inside applications using local state backed by Kafka logs. However, deploying and managing multiple Kafka Streams microservices at scale is complex, requiring custom CI/CD, state recovery, and observability tooling.
Condense simplifies this by providing a fully managed, unified streaming platform inside your cloud (BYOC). It integrates Kafka Streams with built-in IDE, Git versioning, prebuilt domain logic, and native observability, eliminating operational overhead while accelerating development and scaling real-time apps reliably.
Introduction
Apache Kafka has long been a cornerstone of modern data infrastructure, providing a distributed, fault-tolerant backbone for event ingestion at scale. But ingestion is only half the equation. Business value lies in what happens after events are received, how raw data is filtered, joined, aggregated, enriched, and ultimately transformed into decisions.
