Production-Ready Kafka at $800/Month. Launch Real-Time Apps in Days, Not Months

For years, Apache Kafka has powered real-time data platforms across industries: from mobility to fintech, logistics to e-commerce. But talk to any engineering team that’s tried running OSS Kafka in production, and a familiar pain point emerges: 

Kafka works beautifully, until you try to operate it

Kafka may be open source, but running it at scale demands costly engineering hours, constant maintenance, and endless infrastructure tuning. Most teams end up managing brokers instead of building features. 

What If That Could Change? 

What if you could deploy production-grade Kafka with built-in stream processing, connectors, observability, and schema registry: fully managed inside your own cloud, and all for just $350/month? 

That’s exactly what Condense delivers. 

What’s Inside Condense at $800/Month?

Let’s be clear: this isn’t just hosted Kafka. It’s a complete real-time application stack, optimized for modern streaming workloads and built to scale with full BYOC (Bring Your Own Cloud) support. 

Core Platform 

• Fully Managed Kafka: Zero-touch Kafka with performance tuning, patching, and version control handled by the platform. 

• 1 Mbps Throughput: Production-grade ingress/egress included 

• BYOC Deployment: Deploy entirely within AWS, Azure, or GCP while maintaining compliance, sovereignty, and infrastructure isolation. 

 Developer Experience 

• AI-Powered Development Tools: Integrated AI assistants help design, test, and generate transform logic: accelerating development for real-time applications. 

• Event-Driven Microservice Runtime: Write and run custom logic in any language across stateless, horizontally scalable execution environments using in-built IDE. 

• Integrated Schema Registry: Automatically manage schemas for Avro / JSON data formats. This ensures producers and consumers always agree on message structure, preventing data errors, enabling safe evolution, and simplifying debugging 

• Built-in Observability: End-to-end monitoring with native metrics, latency heatmaps, and real-time alerts: no plugins required. 

Solution Acceleration 

Industry-Specific Connectors & Transforms: Ready-to-use connectors and transforms tailored for mobility, fintech, logistics, industrial IoT, and more. 

Enterprise-Grade Assurance 

• 99.95% SLA: Enterprise-grade uptime and throughput guarantees with 24x7 support and incident response. 

• Automated Upgrades & Patch Management: Platform-managed upgrades, hotfixes, and Kafka ecosystem updates with zero operational overhead or downtime. 

• Seamless Kafka Migration: Support for migrating from open-source Kafka, Confluent, or legacy MQ platforms like RabbitMQ and ActiveMQ without service disruption. 

• Community & Email Support: Get direct assistance from the Condense team via email, plus access to a growing developer community. 

From Idea to Pipeline in Days, Not Months 

With Condense, you’re not just setting up Kafka, you’re building complete real-time data applications with: 

• Prebuilt Connectors 

• AI-enable Custom Applications Development

• Drag-and-Drop Utilities 

• Built-In Observability 

• Secure Access Control 

What Can Teams Build With Condense? 

From ingestion to enrichment to action, Condense gives you the complete toolkit, fully managed, inside your infrastructure 

• AI-Assist for Stream Logic: Generate transformation and alerting logic instantly using our AI assistant enabled development tools like Utilities. 

• In-Browser Developer IDE: Write, test, and deploy transforms in any language. Git integration is included. 

• No-Code / Low-Code Utilities: Use visual tools like Split, Merge, Filter, and Window to build real-time pipelines. 

• Marketplace Transforms: Deploy industry-specific logic instantly, no code needed. 

• Full Observability: Lag, latency, error rates: all without Grafana or Prometheus setup. 

What Can 3 Mbps Really Do? 

Unlike others, we don’t hide behind abstractions. Here’s what you can actually run on 1 Mbps: 

Example 1: Fleet Telematics Platform 

• 1,500+ vehicles sending location + diagnostic packets every 15 seconds 

• Ingest vehicle data via MQTT or HTTP → parse via Condense transform → push to a dashboard + alert engine 

• Logic for fuel pilferage, over-speed alerts, engine overheat, or idle time violations 

• Stream output to Elasticsearch or notification APIs 

Result

Full real-time visibility for an entire mid-sized fleet with zero ops burden. 

Example 2: Fintech Fraud Detection 

• 200,000 card events/day (swipes, logins, transfers) 

• Events streamed into Kafka via REST or Debezium CDC 

• Apply geo, device, and behavioral rule logic inside Condense 

• Trigger fraud alerts to downstream compliance systems or notification APIs 

Result

Enterprise-grade fraud detection running at startup scale. 

Example 3: E-Commerce Inventory + Cart Sync 

• 10,000+ SKUs across 100+ microservices 

• Sync inventory updates in real-time using Kafka + schema registry 

• Apply deduplication, delta computation, and cart prioritization logic 

• Notify warehouse services and checkout systems instantly 

Result

Real-time state across warehouse, website, and cart—even during spike events. 

Example 4: Hotel Booking & Room Availability Sync 

• 10,000+ concurrent users browsing, booking, or cancelling across hotel websites, OTAs, and mobile apps 

• Ingest real-time booking, cancellation, and availability events via HTTP or JDBC → enrich and validate via Condense transform → sync across PMS, CRS, and third-party distribution platforms 

• Logic for rate parity enforcement, room locking, overbooking prevention, and inventory deduplication 

• Stream updates to property systems, OTA dashboards, and mobile apps in milliseconds 

Result

Real-time inventory and pricing accuracy across all channels, maximized revenue with zero double-bookings. 

Why BYOC (Bring Your Own Cloud)? 

Full control over data, networking, and compliance 

• Avoid cloud provider lock-in 

• Meet regional laws (APAC, EMEA & Americas) 

• Keep all cloud spend under your existing billing agreements 

You control everything. We just make it work. 

Checkout our eBook on "Kafka Workload: Cheaper than Free", and learn more on how we simplified Kafka Pricing. Check out the free eBook here

What Does DIY Kafka Really Cost? 

Let’s compare what it would cost to run an open-source Kafka stack in production on your own at just 3 Mbps throughput. While data volume is smaller, ops costs remain unchanged, as engineers still need to set up, monitor, and secure the platform. 

One-Time Setup Costs (Over 3 Years) 

Recurring Monthly Costs - 1 Mbps Throughput

Even for low-throughput use cases, engineering headcount and ops complexity do not scale down linearly. You still need specialists to manage availability, latency, connectors, ACLs, and compliance. 

What does Managed Kafka Really Cost?

The Offer: A Complete Streaming Platform 

ℹ️ Infrastructure costs (compute, storage) billed separately by your cloud provider (AWS, Azure, GCP). 

What happens to the license fee after you consume 14400 vCPU hours? Pricing starts at $0.16111/vCPU hour. Contact Sales for discounted Pricing

Ready to Start? 

Condense gives you enterprise-grade Kafka with none of the operational pain, deployed in your cloud, ready to launch your real-time app in days, not months. 

• Stream events 

• Process logic 

• Trigger action 

all on a single platform. 

Talk to us today 

We'll help you build your first pipeline in under an hour. Subscribe to the $800 plan today! Book a meeting with us to know more.