TL;DR
Condense powers production-scale streaming for a leading commercial vehicle manufacturer, delivering 175 TB+ monthly data processing, sub-second throughput, and measurable cost and efficiency savings.
Zeliot today announced that Condense, its fully managed BYOC Kafka and complete real-time streaming platform, has been deployed at scale by one of India’s largest commercial vehicle OEMs. The platform now powers over 250,000 connected vehicles, processing 175 TB+ of data each month with sustained throughput of 120 Mbps and peaks of 500 Mbps. Scaling to 250,000 connected vehicles is a landmark in the connected mobility journey, transforming fleet management from reactive to predictive and intelligent.
Vehicle telemetry at this scale is transmitted via MQTT from telematics devices and ingested into Kafka topics where Condense processes events in real time. The deployment demonstrates Condense’s ability to manage mission-critical, high-volume streaming workloads at production scale. By leveraging Condense, the OEM achieved 20% cost savings and 40% reduction in engineering effort, while ensuring sub-second data delivery from ingestion to downstream applications.
Proven performance at scale
At 250,000 vehicles, the platform enables predictive maintenance across the entire fleet, detecting anomalies in vehicle sensor data before they become breakdowns. The OEM required a platform capable of ingesting, processing, and distributing data from hundreds of thousands of connected vehicles without compromising latency or reliability. Condense delivered:
250,000+ connected vehicles actively streaming data.
175 TB+ monthly data volume processed in real-time.
120 Mbps sustained throughput, with proven ability to handle peaks of 500 Mbps.
Mission-critical reliability, ensuring uninterrupted data flow to downstream analytics, monitoring, and operational systems.
Customer Outcomes
This scale of real-time vehicle intelligence runs on flat-rate managed Kafka, no per-event fees, no schema surcharges, regardless of fleet size growth.
20% reduction in cloud spend through optimized, vCPU-based metering.
40% less engineering effort, as Condense simplified deployment, monitoring, and orchestration.
Faster time-to-value with production-ready pipelines built using Condense prebuilt connectors, transforms, and utilities, reducing the need for custom development.
Developer productivity accelerated through Condense AI-powered inbuilt IDE, enabling teams to code, test, and deploy pipelines within the platform itself, without managing microservices or external environments.
End-to-end Kafka management delivered by Condense, including provisioning, patching, monitoring, and scaling, allowed engineering teams to focus on business logic rather than infrastructure.
Enterprise validation
This production-scale deployment establishes Condense as one of the few platforms proven to deliver secure, compliant, and low-latency real-time streaming at the scale demanded by global OEMs. It validates Condense ability to handle complex industrial workloads while maintaining cost efficiency and enterprise governance.
Availability
Condense is available globally for enterprises seeking production-grade real-time data streaming. Customers can start with an introductory package and scale seamlessly to workloads at par with some of the world’s largest connected ecosystems.
For another example of Condense-powered fleet intelligence, see how iTriangle telematics devices are used to turn vehicle data into real-time fleet decisions.
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