Changing event schemas shouldn't mean rewriting every consumer. #Condense combines schema management with Custom Transforms to evolve events while maintaining compatibility across streaming pipelines. #ApacheKafka #DataStreaming #EventDrivenArchitecture #SchemaRegistry #StreamingData #DataEngineering #PlatformEngineering #SoftwareEngineering #RealTimeData #DeveloperTools #CloudNative #DistributedSystems #EventStreaming #Microservices #Kafka
Zeliot
Software Development
Bengaluru, Karnataka 25,549 followers
Future of Verticalised Data Streaming Platforms
About us
At Zeliot, we are redefining the future of real-time data streaming, empowering enterprises and developers to unlock the full potential of their data with speed, simplicity, and scale. We envision a world where data moves seamlessly, insights are delivered instantly, and innovation happens at the speed of thought. To bring this vision to life, we created Condense, a next-generation all-in-one data streaming platform that radically simplifies how real-time applications are built, deployed, and scaled. Condense eliminates the complexities traditionally associated with infrastructure management through fully managed Kafka, intelligent autoscaling, and a Bring Your Own Cloud (BYOC) deployment model, freeing developers from operational overhead and enabling them to focus entirely on creating new real-time experiences. With an AI-driven development framework and a Custom Transformation Engine, Condense allows developers to write, test, and deploy stream processing logic in their preferred programming languages, accelerating innovation and shortening development cycles. This approach enables enterprises to bring new applications to market faster and operate at true cloud-native speed, supported by optimized infrastructure utilization and up to 40–60% reduction in total cost of ownership (TCO), all while maintaining data sovereignty, performance, and scalability across cloud environments. Driven by deep domain expertise across connected mobility, IoT, and large-scale data ecosystems, Zeliot extends beyond platform innovation to deliver the complete ecosystem enterprises need to realize their real-time data ambitions. By combining advanced streaming technology with contextual intelligence and industry focus, Zeliot enables organizations to build, scale, and manage real-time applications with exceptional efficiency and measurable business impact. At Zeliot, streaming becomes effortless, development becomes frictionless, and innovation becomes continuous
- Website
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https://www.zeliot.in/
External link for Zeliot
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Bengaluru, Karnataka
- Type
- Privately Held
- Founded
- 2018
- Specialties
- IoT solutions, Cloud Marketplace, Data Marketplace, Real Time Data Streaming, Real Time Streaming platform, kafka, managed kafka, Data Streaming Platform, Data Streaming, Real Time Data, Industry Specific Transforms, Transforms Marketplace, Data Marketplace, Custom Business Logic, Custom Transforms, Connectors, BYOC, Apache Kafka, Real Time Streaming Application, Streaming Application, Cloud Computing, Fully Managed Kafka, and Stream Processing
Products
![Click here to view Condense - Real Time Data Streaming Platform (DSP)]()
Condense - Real Time Data Streaming Platform (DSP)
No-Code Development Platforms
Condense is an all-in-one data streaming platform designed to simplify real-time application development, management, and scaling. Comes with Built-in fully managed Kafka at its core, Condense integrates seamlessly with customer cloud environments through a fully managed BYOC (Bring Your Own Cloud) model. It features an industry-specific verticalized ecosystem, including prebuilt transforms, connectors, and a Custom Transformation Framework that accelerates innovation while ensuring operational simplicity. Connect your business sources swiftly with no limits, seamlessly link countless data sources, handling endless streams of any size or complexity with ease and confidence. Scale to meet the growing demands of your business and unlock limitless possibilities for innovation, efficiency, and growth with a unified platform built to adapt and evolve alongside your needs.
Locations
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Primary
Get directions
3rd Floor, 4/4, First Main Road, Industrial Town
Next to Premananda Convention hall West of Chord Road, Service Road
Bengaluru, Karnataka 560010, IN
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Get directions
Zeliot, 2nd Floor, KLE Tech Park,
KLE Technological University, Vidyanagar
Hubballi, Karnataka 580031, IN
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Get directions
5 Independence Way
Suite 300
Princeton, New Jersey 08540, US
Employees at Zeliot
Updates
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One Health Score. 15 live signals. Thousands of decisions every minute. See how #Condense enables engineering teams to focus on business logic while the platform handles production operations #ApplicationDevelopment #PlatformEngineering #SoftwareEngineering #RealTimeApplications #DataStreaming #EventDrivenArchitecture #ApacheKafka #DeveloperExperience
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Real-time data. Real-time decisions. See how #Condense transforms financial risk management with continuous event streaming and live risk monitoring. #ApacheKafka #FinancialServices #RealTimeData #EventStreaming #RiskManagement #FinTech #DataEngineering #StreamingData #Banking #CondenseByZeliot #risk #ai #finance #lending #digital #digitization
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A good Kafka partition strategy scales applications. A poor one scales problems. Learn how to design it right and how #Condense help to achieve it: https://lnkd.in/gMGP4hju #ApacheKafka #Kafka #DataStreaming #EventDrivenArchitecture #RealTimeData #DistributedSystems #Microservices #DataEngineering #StreamingData #CloudNative #ScalableArchitecture #SoftwareEngineering #DevOps #BigData #TechBlog
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From generating code to generating application Code generation solves one part of software development. Building an application still requires understanding the platform, connecting data sources, creating pipelines, deploying services, and operating them reliably. #Condense brings together specialized AI agents with knowledge of the platform's services, connectors, templates, and development workflows, helping developers build complete streaming applications with far less manual effort Try Condense for free: https://lnkd.in/g7yX4YbJ #ApplicationDevelopment #SoftwareEngineering #PlatformEngineering #RealTimeApplications #AIAgents #ApacheKafka #DataStreaming #ai #data #apps #businesslogic #logic #workflow #code #build #deploy #innovation
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Why are enterprises bringing their Kafka infrastructure back into their own cloud? Managed Kafka simplified cluster operations. Today, enterprises also need greater control over data sovereignty, compliance, infrastructure, and cloud costs. This is driving the adoption of #BYOC (Bring Your Own Cloud) Kafka. This article explores what BYOC Kafka is, why enterprises are adopting it, how it differs from traditional vendor-hosted Kafka, and how #Condense delivers BYOC Kafka with added advantages. #BYOCKafka #ApacheKafka #DataStreaming #CloudArchitecture #DataSovereignty #EnterpriseArchitecture #PlatformEngineering #ApplicationDevelopment If you're evaluating Kafka deployment models for production workloads, this guide is a good place to start
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Consumer lag is a metric. Finding the bottleneck is an engineering problem. Troubleshooting real-time applications requires visibility beyond Kafka. #Condense extends observability beyond broker metrics by correlating Kafka metrics with stream processing, connector health, application performance, deployment events, and downstream dependencies, helping engineering teams isolate production bottlenecks faster. #ApacheKafka #PlatformEngineering #DataEngineering #Observability #EventStreaming #StreamingPlatform #DistributedSystems #StreamProcessing #EventDrivenArchitecture #ProductionEngineering #DataInfrastructure #SoftwareArchitecture Here's a quick read on why broker metrics alone aren't enough
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From First Click to First Pipeline The fastest way to experience Condense is through the platform itself. Explore live pipelines, Kafka management, Schema Registry, observability, connectors, and AI-powered application development before creating an account. Experience #Condense today https://lnkd.in/gKv8Zf_7. #ApacheKafka #DataStreaming #DeveloperExperience #PlatformEngineering #RealTimeApplications #DataEngineering #Kafka #DeveloperTools
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What does it actually take to build a production AI assistant? The Zeliot website assistant is more than an LLM in a chat window. It retrieves documentation, answers product questions, recommends solutions, gives expert consultations based on use case, schedules meetings, maintains conversational context, orchestrates workflows, executes tools, and streams responses in real time. We built the Zeliot website assistant on #Condense because our goal wasn't to build another conversational AI assistant. We wanted to build a production AI application that understands intent, performs actions, and scales reliably. Condense gave us a unified platform to develop the application, orchestrate real-time workflows, deploy it into production, and operate it at scale This blog takes you through how we built it, why we made those engineering decisions, and how the complete application comes together on Condense. Ready to build your own AI application? Start your 30-day free trial of #Condense and experience a unified platform for building, deploying, and operating production-ready AI applications. #AIEngineering #DeveloperTools #ApplicationDevelopment #SoftwareArchitecture #AIAgents #StreamingPlatform #PlatformEngineering #ApacheKafka #chatbot #aiassistant #assistant #llmchat #llmbasedchatbot #design #build #deploy #k8s #LLM #RealTimeApplications
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Consumer group rebalancing is a fundamental part of Apache Kafka. If it is not managed effectively, it can increase latency, pause message processing, and impact application performance. In our latest #blog, we explain how consumer group rebalancing works, what triggers it, and the best practices to minimize its impact in production. Read the full blog here: https://lnkd.in/ea-tAmMs #ApacheKafka #Kafka #ConsumerGroups #DataEngineering #StreamProcessing #PlatformEngineering #DistributedSystems #Condense
