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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 Confluent?
TL;DR
Condense and Confluent Cloud both handle GBps-level throughput, but Condense provides a complete autonomous environment that Confluent lacks. Confluent Cloud is a managed infrastructure service that still leaves the heavy lifting to the user llike scaling external Flink clusters and paying high egress fees to move data into a vendor network. Condense solves the entire lifecycle by merging high-performance brokers with a native execution layer for Java, Python, or Go code. Since it runs on customer cloud, the platform scales brokers and logic automatically as one, finally cutting out the need for separate processing clusters and the hidden costs of moving data between networks.
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?
Native Data Sovereignty (BYOC Architecture)
Legacy SaaS models require data to exit your secure perimeter to reside in a vendor-owned account, introducing egress costs and compliance risks.
Condense is architected for Bring Your Own Cloud (BYOC). It deploys directly from cloud marketplaces into your private VPC (AWS, Azure, or GCP). This ensures that 100% of your data residency remains within your control, inherits your existing IAM/KMS security policies, and eliminates the "SaaS Tax" of cross-network data transfer fees.
Autonomous Full-Stack
Scaling
In a standard streaming architecture, scaling is reactive and siloed brokers are scaled based on disk/CPU, while processing apps are scaled via Kubernetes HPA.
Condense introduces Autonomous Scaling for the entire lifecycle. Through its Custom Transform Framework (CTF), the platform monitors throughput and lag at the event level. It automatically provisions compute resources for your custom Java or Python transforms and connectors, ensuring that your application logic scales in perfect lockstep with your Kafka brokers without manual intervention.
