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Choose the Right Data Streaming Platform.

Most platforms focus on streaming data, Condense focuses on understanding it. It’s not just managed Kafka; it’s Kafka with context. Infused with domain intelligence, Condense transforms raw streams into decisions, automations, and impact, because the right Kafka platform should understand what it’s moving

Trusted by Data teams around the world

Unbiased Simplified Comparison

How does Condense compare against Apache Kafka?

TL;DR

Condense and Apache Kafka (OSS) represent the choice between deploying a finished application and managing raw infrastructure. Apache Kafka OSS is a distributed engine that moves bytes reliably, but it requires you to build, scale, and maintain the entire ecosystem including separate clusters for any data processing. Condense is a unified streaming platform that wraps the Kafka engine with an autonomous execution layer, allowing you to run business logic directly on the stream without managing the underlying "plumbing."

Architecture

Ecosystem

Support & Compliance

FeatureCondenseApache kafka
System DesignA unified environment that bundles Kafka, Kubernetes, and the App Runtime into one integrated stack.Distributed design based on a Java/Scala engine that utilizes the JVM, OS page cache, and internal KRaft for cluster metadata.
InfrastructureManaged BYOC: Deploys a fully managed stack (Kafka + K8s + Logic) into your VPC with one click from cloud marketplace of AWS, Azure and GCP.DIY Infrastructure: You must manually provision VMs, networking, storage, and KRaft.
Unified PlatformUnified Application Fabric: Merges the Kafka engine with a native event-driven microservice runtime. It is an "Execution Fabric."Fragmented Infrastructure: Operates as a standalone distributed log. Requires external, manual integration with separate processing layers (Flink, Spark, or custom JVM apps).
Logic ExecutionManaged App Runtime: Custom transforms run in a managed, serverless-style environment. Condense handles containerization, state management, and orchestration.External Services: Requires separate Flink, Spark, or Microservices to process data.
Scaling ScopeFull-Stack: Automatically scales brokers and custom code in lockstep based on real-time lag.Infrastructure-Only: Manual broker provisioning and time-consuming partition rebalancing.
StorageNative Object Storage: Direct offloading to S3/GCS/Azure Blob; data stays in your buckets for infinite retention.Local Disk (Default): Requires manual configuration of Tiered Storage and complex cleanup policies.
PerformanceYes (Serverless Scale and Zero-Hop): Running GBps+ enterprise data workload and autonomous scale for spikes and variations. Application logic runs "local" to the broker, eliminating the network latency of external processors.Network-Heavy: Every transformation usually requires a network hop to an external processor.

Architecture

Ecosystem

Support & Compliance

FeatureCondenseApache kafka
System DesignA unified environment that bundles Kafka, Kubernetes, and the App Runtime into one integrated stack.Distributed design based on a Java/Scala engine that utilizes the JVM, OS page cache, and internal KRaft for cluster metadata.
InfrastructureManaged BYOC: Deploys a fully managed stack (Kafka + K8s + Logic) into your VPC with one click from cloud marketplace of AWS, Azure and GCP.DIY Infrastructure: You must manually provision VMs, networking, storage, and KRaft.
Unified PlatformUnified Application Fabric: Merges the Kafka engine with a native event-driven microservice runtime. It is an "Execution Fabric."Fragmented Infrastructure: Operates as a standalone distributed log. Requires external, manual integration with separate processing layers (Flink, Spark, or custom JVM apps).
Logic ExecutionManaged App Runtime: Custom transforms run in a managed, serverless-style environment. Condense handles containerization, state management, and orchestration.External Services: Requires separate Flink, Spark, or Microservices to process data.
Scaling ScopeFull-Stack: Automatically scales brokers and custom code in lockstep based on real-time lag.Infrastructure-Only: Manual broker provisioning and time-consuming partition rebalancing.
StorageNative Object Storage: Direct offloading to S3/GCS/Azure Blob; data stays in your buckets for infinite retention.Local Disk (Default): Requires manual configuration of Tiered Storage and complex cleanup policies.
PerformanceYes (Serverless Scale and Zero-Hop): Running GBps+ enterprise data workload and autonomous scale for spikes and variations. Application logic runs "local" to the broker, eliminating the network latency of external processors.Network-Heavy: Every transformation usually requires a network hop to an external processor.

Condense: The Vertical Data Platform for Real-Time Businesses

Condense understands vertical data by design and connects directly to real time data sources
like vehicles or GDS platforms. Its purpose-built industry specific  connectors and transformations accelerate the development of real-time vertical use case

Condense understands vertical data by design and connects directly to real time data sources like vehicles or GDS platforms. Its purpose-built industry specific  connectors and transformations accelerate the development of real-time vertical use case

Condense understands vertical data by design and connects directly to real time data sources like vehicles or GDS platforms. Its purpose-built industry specific  connectors and transformations accelerate the development of real-time vertical use case

Accelerate the path from idea to production

Rapidly realize and deploy industry use cases

Enterprise scale with native governance

Optimize TCO through vertical industry-first approach

Condense - A Vertical Data Platform
Condense - A Vertical Data Platform

Why Switch to Condense?

Unified Platform vs. Infrastructure Sprawl

OSS Kafka is a "broker-only" technology. To build a real-world application, you must manually integrate and manage separate clusters for Kafka Connect, Schema Registry, Flink/Spark (for logic), and Prometheus/Grafana (for monitoring).

Condense collapses these silos into a single Unified Application Fabric. It merges the Kafka engine with a native, event-driven microservice runtime. You don't "glue" tools together; the tools are built into the fabric.

Condense collapses these silos into a single Unified Application Fabric. It merges the Kafka engine with a native, event-driven microservice runtime. You don't "glue" tools together; the tools are built into the fabric.

"Zero-Hop" Performance

In OSS Kafka processing typically happens in external microservices or Flink clusters. Data must travel from the broker over the network to the processor and often back again, adding significant network latency and egress costs.

Condense allows you to deploy your Java, Python, or Go logic local to the data. By running code on the same substrate as the broker, Condense eliminates the network "hop," delivering sub-millisecond end-to-end latency for mission-critical alerts.

Managed BYOC (Sovereignty without the Ops)

In OSS Kafka you own the code, but you also own the 3 AM "broker down" phone calls. Scaling, patching, and rebalancing are manual, high-risk operations.

Condense offers a Bring Your Own Cloud (BYOC) model. It deploys directly into your AWS/GCP/Azure account via the marketplace leveraging your cloud credits and IAM, but with fully managed platform without headeach of operations and maintainence

Condense offers a Bring Your Own Cloud (BYOC) model. It deploys directly into your AWS/GCP/Azure account via the marketplace leveraging your cloud credits and IAM, but with fully managed platform without headeach of operations and maintainence

Vertical Intelligence (The Mobility/IoT Advantage)

OSS Kafka is a generic "dumb pipe." It has no idea what a VIN (Vehicle Identification Number), a geofence, or a telematics packet is. You have to write every line of that domain logic from scratch.

Condense ships with Vertical Blueprints. It includes pre-built, domain-aware modules for Mobility (Trip Formation, Driver Scoring) and IoT (VSS Mapping). This allows teams to go live in days rather than the months required to build these patterns on OSS.

TCO Reduction

In OSS Kafka the license is "free," the Total Cost of Ownership is massive. You need a dedicated team of 3–5 specialized SREs to manage a production-grade Kafka ecosystem.

Condense reduces TCO by up to 60%. It eliminates the need for a specialized Kafka Ops team and uses a flat, predictable vCPU-based pricing model. There are no "hidden taxes" for throughput, partitions, or data egress within your VPC.

Unified Development Environment

While Redpanda supports WebAssembly (WASM) for simple tasks like data filtering, complex stateful business logic often requires moving code to an external system.

Condense embeds a Full-Code IDE directly into the platform. Developers can write, test, and deploy production transforms in standard languages with built-in state management and version control. This environment is supported by an AI-assisted layer that handles rebalancing and root-cause analysis, significantly reducing the manual effort required to keep complex pipelines healthy.

Why is Condense the Best Way to Enable Agentic AI and Real-Time Data

Connectors

App Lifecycle

Monitoring

Infra & Ops

WITHOUT CONDENSE

Coding Connectors

Requires specialized Java/Scala skills
to write and maintain industry specific connectors

Complex Management

Development and maintenance of ever changing industry connectors becomes difficult

Maintenance & Scalability

Managing scale and failover of connectors become a challenge as the load increases

THE CONDENSE WAY

Universal & Industry-Ready Connectors

Deploy universal or specialized connectors
(e.g., Telematics for Mobility) that come with built-in parsing for complex schemas

Configurable Output Sinks

Configure and deploy pre-built sink/source connectors and through UI into the data pipeline

Connectors

App Lifecycle

Monitoring

Infra & Ops

WITHOUT CONDENSE

Coding Connectors

Complex Management

Maintenance & Scalability

THE CONDENSE WAY

Universal & Industry-Ready Connectors

Configurable Output Sinks

Connectors

App Lifecycle

Monitoring

Infra & Ops

WITHOUT CONDENSE

Coding Connectors

Requires specialized Java/Scala skills
to write and maintain industry specific connectors

Complex Management

Development and maintenance of ever changing industry connectors becomes difficult

Maintenance & Scalability

Managing scale and failover of connectors become a challenge as the load increases

THE CONDENSE WAY

Universal & Industry-Ready Connectors

Deploy universal or specialized connectors
(e.g., Telematics for Mobility) that come with built-in parsing for complex schemas

Configurable Output Sinks

Configure and deploy pre-built sink/source connectors and through UI into the data pipeline

Get Started with Condense in 3 Simple Steps

Deploy Condense from Your Cloud Marketplace

01

Deploy

Deploy Condense from Your Cloud Marketplace

01

Deploy

Deploy Condense from Your Cloud Marketplace

01

Deploy

Create Your First Workspace

02

Create

Create Your First Workspace

02

Create

Create Your First Workspace

02

Create

Build Your First Real‑Time Pipeline

03

Build

Build Your First Real‑Time Pipeline

03

Build

Build Your First Real‑Time Pipeline

03

Build

Frequently Asked Questions

Frequently
Asked Questions