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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 Amazon MSK?
TL;DR
Condense and Amazon MSK both offer managed Kafka on AWS, but they solve different problems. Amazon MSK is an infrastructure-service that simplifies the setup of Kafka brokers and storage; however, it leaves the "Application Gap" to the user, who must still manage separate AWS services like Lambda, Flink (via Amazon MSK Connect), or EKS to process data. Condense is a unified streaming platform that integrates high-performance brokers with a native execution layer. Because the platform runs directly in a private VPC, it scales both the messaging and the business logic automatically as one, removing the need to stitch together multiple AWS services.
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?
Transition from Managed Infrastructure to a Unified App Runtime
Amazon MSK is a solid hosting service for Kafka brokers, but it only solves the transport problem. To actually process data, teams must architect, secure, and manage separate AWS services like Lambda, Flink (Kinesis Data Analytics), or EKS.
With Amazon MSK, scaling is fragmented. You can scale brokers, but you must independently manage the scaling of your processing layer whether that’s tuning Lambda concurrency or managing Flink TaskManagers. If these layers don't stay in sync during a spike, data lag occurs.
Condense merges these layers. It provides a single environment that hosts both the high-performance brokers and the business logic. This allows developers to deploy production code directly on the stream, removing the complexity of "stitching" together multiple AWS services to build a single application.
Cost Efficiency and "Hidden" AWS Fee Elimination
Amazon MSK billing is layered and complex, often involving charges for broker instances, storage, and significant fees for cross-AZ data transfer and NAT Gateways.
Condense runs natively within a private VPC and is engineered to eliminate these "cloud taxes." By unifying storage and compute, it removes the need to move data between different AWS services (like MSK to Lambda), which cuts down on cross-AZ transfer costs and eliminates the markup typically associated with managed SaaS data movement.
Vertical Solutions vs. General-Purpose Pipes
Condense provides a Verticalized Ecosystem. It includes pre-built, domain-aware transforms for industries like Mobility, IoT, and FinTech. Instead of writing custom code to parse telematics or decode financial protocols, teams can use production-ready assets, moving from prototype to production months faster than on a general-purpose AWS stack.
Unified Developer Experience and Observability
In an AWS-native architecture, logs and metrics are scattered across CloudWatch, X-Ray, and various service consoles. Debugging a laggy pipeline requires jumping between infrastructure and application logs.
Condense embeds a Full-Code IDE and AI-Assisted Layer directly into the platform. Developers can write, test, and deploy transforms with built-in version control and state management. The unified dashboard provides full-stack observability, allowing an event to be traced from ingestion through custom code to the final sink in a single view, significantly reducing "Mean Time to Recovery" (MTTR).
