Condense is a real-time data streaming platform powered by managed Kafka. With BYOC deployment, prebuilt connectors, and custom workflows, it helps businesses build, scale, and manage applications efficiently while handling massive data securely.
A startup from Bengalore, India that is founded by Anup Naik, Sudeep Nayak, Sugam Sharma.
This page is designed to help you find out whether Zeliot Condense is good and if it is the right choice for you.
At Zeliot, we are redefining the future of real-time data streaming with a passion for helping enterprises unlock the full potential of their data. We envision a world where data flows seamlessly, insights are delivered instantly, and innovation unfolds at the speed of thought.
To bring this vision to life, we created Condense, a groundbreaking all-in-one data streaming platform that transforms how real-time applications are developed and managed. By combining intelligence, scalability, and ease of use with an industry-specific verticalized ecosystem, Condense delivers unmatched efficiency and innovation.
Condense comes with built-in fully managed Kafka and deploys seamlessly on customer cloud environments through a fully managed BYOC (Bring Your Own Cloud) model. This ensures complete data sovereignty while eliminating the complexities of infrastructure management, freeing streaming applications from traditional limitations. Additionally, the Custom Transformation Framework allows users to write complex logic in their preferred programming language directly within the Condense platform and deploy it on streaming data, accelerating the development of real-time applications and allowing enterprises to tailor solutions precisely to their needs.
But innovation at Zeliot doesn’t stop at the cloud. Condense Edge extends the power of real-time data processing to the network edge, unlocking transformative possibilities for IoT devices, connected vehicles, and other edge-based applications. By enabling intelligent data collection, processing, and OTA updates closer to the source, Condense Edge delivers unparalleled performance, efficiency, and reliability, redefining what’s possible in edge computing.
We are shaping the future of real-time data streaming and edge intelligence. With Condense and Condense Edge, we empower enterprises to achieve transformative outcomes, delivering seamless, scalable, and intelligent data ecosystems that fuel the next wave of innovation.
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Real-Time Stream Processing
Processes and analyzes streaming data with low latency, supporting aggregation, joins, and windowing functions.
Fully Managed Kafka
Provides fully managed Apache Kafka at the core, reducing the complexity of running and maintaining streaming infrastructure.
Bring Your Own Cloud (BYOC)
Allows deployment in the customer’s own cloud environment, ensuring data control, security, and compliance.
Prebuilt Connectors
Offers ready-to-use connectors for common data sources and destinations, speeding up integration.
Custom Transformation Framework
Enables teams to build custom workflows and transformations for specific use cases.
Observability & Monitoring
Built-in tools for monitoring pipelines, debugging, and ensuring system reliability.
Scalability
Handles millions of events per second, scaling seamlessly with growing workloads.
Security & Compliance
Provides authentication, authorization, and encryption for data in transit and at rest.
Vertical Industry Ecosystem
Includes industry-specific workflows, connectors, and tools designed for sectors like automotive, IoT, telecom, and energy.
Condense is unique because it combines managed Kafka with a Bring Your Own Cloud (BYOC) model, allowing organizations to keep control of their infrastructure while using a fully managed service. It also provides prebuilt connectors, transformations, and a custom framework tailored for industry-specific use cases, which reduces complexity and speeds up development compared to other platforms.
A person should choose Condense because it offers fully managed Kafka with a Bring Your Own Cloud model, giving full control over data and infrastructure. Unlike many competitors, it includes prebuilt connectors, custom transformation tools, and industry-focused workflows that simplify integration and reduce the effort needed to build real-time data applications.
Condense’s primary audience includes developers, data engineers, and enterprises that need to build and scale real-time applications. It is especially relevant for industries such as automotive, telecom, IoT, energy, finance, travel, infotainment, gaming, and hospitality, where high-volume data streaming, integration, and low-latency processing are critical.
Condense was created to simplify real-time data streaming for businesses struggling with the complexity of managing Kafka and integration pipelines. The team behind Zeliot saw that existing platforms were either too complex, too rigid, or lacked flexibility for industry-specific use cases. Condense was built with a Bring Your Own Cloud model, prebuilt connectors, and custom transformation tools to give organizations more control and make real-time application development faster and easier.
Condense is built on Apache Kafka as its core streaming engine. It utilizes cloud-native technologies to support Bring Your Own Cloud (BYOC) deployments and containerized environments, enabling scalability. The platform also integrates with prebuilt connectors, transformation frameworks, and industry-standard protocols to enable seamless data ingestion, processing, and delivery.
Condense is used by enterprises in industries such as automotive, mobility, telecom, energy, and IoT. These organizations rely on the platform to manage real-time data at scale for connected vehicles, smart grids, network monitoring, and industrial IoT applications.
Zeliot Condense appears to be a specialized fleet telematics and video safety platform aimed at commercial fleet operators, offering AI-driven monitoring, GPS tracking, and driver behavior analytics; it seems solid for mid-to-large fleet operations seeking data-driven safety and efficiency improvements, though as with any niche B2B SaaS product, suitability depends on specific business needs, integration requirements, and direct evaluation through demos or trials.
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