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One of India’s Largest Commercial Vehicle OEMs Scales to 250,000 Connected Vehicles with Condense

Written by
Sachin Kamath
Sachin Kamath
.
AVP - Marketing & Design
AVP - Marketing & Design
Published on
Sep 26, 2025
3 mins read
3 mins read
Press Release
APAC
APAC
Press Release

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TL;DR

One of India’s top commercial vehicle OEMs has deployed Condense’s fully managed BYOC Kafka streaming platform at national scale, powering over 250,000 vehicles with 175 TB+ monthly data, sub-second delivery, and significant savings, 20% lower cloud costs and 40% less engineering effort. Condense streamlines real-time production workloads, improves developer productivity, and ensures enterprise-grade reliability for large-scale mobility ecosystems.One of India’s largest commercial vehicle OEMs uses Condense to stream data from 250,000 vehicles, processing 175 TB+ monthly with sub-second speed. The OEM cut cloud costs by 20% and engineering effort by 40%, relying on Condense for end-to-end managed Kafka, rapid deployment, and seamless scaling at enterprise scale.

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

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 

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 

  • 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. 

Make a switch to Condense now!

  • Claim the introductory Condense package (10 Mbps for $800) → Get Started

  • Book a technical demo and architecture review → Book a Meeting

  • Request enterprise pricing, SLA and onboarding options → Check Pricing 

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