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Choose the Right Data Streaming Platform.
Most platforms focus on streaming data, Condense focuses on understanding it. It’s not just managed Kafka; it’s Kafka with context. Infused with domain intelligence, Condense transforms raw streams into decisions, automations, and impact, because the right Kafka platform should understand what it’s moving
Trusted by Data teams around the world
Unbiased Simplified Comparison
How does Condense compare against Redpanda Data?
TL;DR
Condense and Redpanda both handle GBps-level throughput, but Condense provides the complete application environment that Redpanda lacks. Redpanda is a storage engine that requires you to manage separate clusters like Flink or Spark to actually use your data. Condense solves the entire lifecycle integrating high-performance brokers with a native execution layer for your Java, Python, or Go code. It autonomously scales your brokers and your logic in lockstep, eliminating the need for separate processing infrastructure and the manual work of managing it.
Condense: The Vertical Data Platform for Real-Time Businesses
Accelerate the path from idea to production
Rapidly realize and deploy industry use cases
Enterprise scale with native governance
Optimize TCO through vertical industry-first approach
Why Switch to Condense?
Autonomous Full-Stack
Scaling
Condense introduces Autonomous Scaling for the entire pipeline. It monitors real-time consumer lag and throughput at the event level. When data volume surges, the platform automatically provisions compute for your custom Java, Python, or Go transforms. It ensures your processing power stays in sync with your data volume and automatically scales back down to optimize costs once the surge passes.
Unified Development
Environment
Private Cloud Sovereignty (BYOC Deployment)
Many managed services require data to leave your environment to reside in a vendor-owned account, which can complicate security audits and increase network costs.
Condense is built for Bring Your Own Cloud (BYOC). It deploys directly into your private VPC (AWS, Azure, or GCP), keeping 100% of your data within your control. This allows you to inherit your existing security policies and encryption keys while utilizing your existing cloud enterprise credits for the underlying compute and storage.
Vertical Solutions vs. General-Purpose Pipes
Transition from Message Broker to Application Environment
Redpanda simplifies the broker by removing the JVM, but it remains a storage and messaging layer. To actually use the data, teams still face the overhead of managing external processing clusters, such as Flink or Kubernetes microservices.
Condense merges these layers. It provides a managed environment that hosts both the data and the business logic as a single entity. This allows developers to ship production-grade code directly on the stream without the burden of building and maintaining a separate processing tier.
