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Stop choosing Kafka Services.
Start Choosing a Streaming Platform

Stop choosing Kafka Services. Start Choosing a Streaming Platform

Condense gives you a Kafka‑based streaming platform deployed into your own cloud account (BYOC), with managed Kafka, low‑code pipelines, connectors, and security included

Condense gives you a Kafka‑based streaming platform deployed into your own cloud account (BYOC), with managed Kafka, low‑code pipelines, connectors, and security included

Condense gives you a Kafka‑based streaming platform deployed into your own cloud account (BYOC), with managed Kafka, low‑code pipelines, connectors, and security included

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Managed Kafka Services: What They Solve, and What They Don’t

Managed Kafka services run Kafka clusters for you – they provision, patch, scale, and monitor brokers so your team doesn’t install or upgrade Kafka itself

Cloud‑Native Managed Kafka

Cloud‑Native Managed Kafka

Cloud‑Native
Managed Kafka

Amazon MSK, Google Managed Service for Kafka, Azure/partner offerings: handle cluster lifecycle, HA, upgrades, and integrate with their cloud’s IAM, VPC, monitoring, etc

Kafka‑as‑a‑Service Platforms

Kafka‑as‑a‑Service Platforms

Pipelines with Kafka
Connect and Sinks

Confluent Cloud, DigitalOcean, Instaclustr, and others: provide fully managed Kafka with SLAs, scaling, and often Kafka Connect and observability add‑ons

Self‑managed Kafka vs managed Kafka vs Condense

Self‑managed Kafka vs Managed Kafka vs Condense

Managed Kafka removes some operational burden but doesn’t give
you an opinionated streaming platform; Condense starts from there

Managed Kafka removes some operational burden but doesn’t give you an opinionated streaming platform; Condense starts from there

Managed Kafka removes some operational burden but doesn’t give you an opinionated streaming platform; Condense starts from there

CondenseSelf-Managed KafkaManaged Kafka Service
Infra & OpsCondense manages Kafka in your cloud (BYOC)You manage infra, setup, scaling, DRProvider manages clusters & infra
ToolingPipelines, connectors, observability built‑inYou assemble Connect, schema, monitoringSome add‑ons; still lots of DIY
FlexibilityKafka control + platform UX in your environmentMax control, max complexityLess control, simpler ops
Focus on TeamsWorkspaces, pipelines, business flowsBrokers, configs, incidentsTopics, clients, still a lot of plumbing.​

How Condense Redefines “Managed Kafka”

Condense assumes Kafka is the right engine and focuses on everything teams actually struggle with: pipelines, connectors, transforms, security, and governance – delivered as a platform in your cloud

Kafka deployed and operated inside your own cloud accounts (AWS, Azure, GCP) via marketplaces – you keep data plane and networking under your control
You want Kafka as a Platform Inside Your Own Cloud Boundary

You want Kafka as a Platform Inside Your Own Cloud Boundary
Visual pipelines and low‑code/no‑code building blocks instead of each team writing its own consumers and integration services
Connector catalog and transformation framework exposed in the UI, so you don’t stand up Kafka Connect, schema tooling, and monitoring separately

Frequently Asked Questions (FAQs)

Is Condense a managed Kafka service?
Condense includes a fully managed Kafka engine, but it is positioned as a Kafka‑based streaming platform: Kafka is one part of the product, alongside pipelines, connectors, observability, and governance, deployed into your own cloud accounts.​
Is Condense a managed Kafka service?
Condense includes a fully managed Kafka engine, but it is positioned as a Kafka‑based streaming platform: Kafka is one part of the product, alongside pipelines, connectors, observability, and governance, deployed into your own cloud accounts.​
Is Condense a managed Kafka service?
Condense includes a fully managed Kafka engine, but it is positioned as a Kafka‑based streaming platform: Kafka is one part of the product, alongside pipelines, connectors, observability, and governance, deployed into your own cloud accounts.​
Who is Condense best suited for?
Condense is designed for teams that rely on Kafka for real-time data but want to move faster without increasing operational complexity. It fits organizations that need Kafka to remain stable while streaming applications continuously evolve.
Who is Condense best suited for?
Condense is designed for teams that rely on Kafka for real-time data but want to move faster without increasing operational complexity. It fits organizations that need Kafka to remain stable while streaming applications continuously evolve.
Who is Condense best suited for?
Condense is designed for teams that rely on Kafka for real-time data but want to move faster without increasing operational complexity. It fits organizations that need Kafka to remain stable while streaming applications continuously evolve.
Can I keep my existing managed Kafka (MSK, Confluent, etc.) and still use Condense
Yes. Condense can integrate with existing Kafka clusters so you can adopt it first as a pipeline and control plane, and later decide whether to consolidate Kafka onto Condense‑managed deployments.​
Can I keep my existing managed Kafka (MSK, Confluent, etc.) and still use Condense
Yes. Condense can integrate with existing Kafka clusters so you can adopt it first as a pipeline and control plane, and later decide whether to consolidate Kafka onto Condense‑managed deployments.​
Can I keep my existing managed Kafka (MSK, Confluent, etc.) and still use Condense
Yes. Condense can integrate with existing Kafka clusters so you can adopt it first as a pipeline and control plane, and later decide whether to consolidate Kafka onto Condense‑managed deployments.​
Why not just stay on self‑managed Kafka if we already invested in it?
Self‑managed Kafka maximizes control but keeps infra, operations, and platform tooling on your team; Condense focuses on reducing ongoing ops and tool‑chain cost while still respecting your cloud, network, and security constraints.​
Why not just stay on self‑managed Kafka if we already invested in it?
Self‑managed Kafka maximizes control but keeps infra, operations, and platform tooling on your team; Condense focuses on reducing ongoing ops and tool‑chain cost while still respecting your cloud, network, and security constraints.​
Why not just stay on self‑managed Kafka if we already invested in it?
Self‑managed Kafka maximizes control but keeps infra, operations, and platform tooling on your team; Condense focuses on reducing ongoing ops and tool‑chain cost while still respecting your cloud, network, and security constraints.​
How do costs compare to a typical managed Kafka service
Managed Kafka services usually bill per broker/unit/GB; Condense’s pricing is oriented around a Kafka‑based platform in your cloud, often reducing total cost by bundling Kafka, pipelines, and observability instead of paying for multiple separate services and tools.
How do costs compare to a typical managed Kafka service
Managed Kafka services usually bill per broker/unit/GB; Condense’s pricing is oriented around a Kafka‑based platform in your cloud, often reducing total cost by bundling Kafka, pipelines, and observability instead of paying for multiple separate services and tools.
How do costs compare to a typical managed Kafka service
Managed Kafka services usually bill per broker/unit/GB; Condense’s pricing is oriented around a Kafka‑based platform in your cloud, often reducing total cost by bundling Kafka, pipelines, and observability instead of paying for multiple separate services and tools.
How is Condense different from using managed Kafka alone?
Managed Kafka solves cluster operations, but everything above Kafka remains custom. With Condense, streaming logic is no longer spread across scripts, KSQL jobs, and microservices. Pipelines are centrally defined, versioned, and managed, reducing operational risk as systems grow.
How is Condense different from using managed Kafka alone?
Managed Kafka solves cluster operations, but everything above Kafka remains custom. With Condense, streaming logic is no longer spread across scripts, KSQL jobs, and microservices. Pipelines are centrally defined, versioned, and managed, reducing operational risk as systems grow.
How is Condense different from using managed Kafka alone?
Managed Kafka solves cluster operations, but everything above Kafka remains custom. With Condense, streaming logic is no longer spread across scripts, KSQL jobs, and microservices. Pipelines are centrally defined, versioned, and managed, reducing operational risk as systems grow.
Does Condense reduce the need for custom streaming code?
Yes. Condense standardizes common streaming patterns through built-in pipelines, transforms, and connectors. Teams still write logic where needed, but with less glue code, fewer ad-hoc services, and clearer operational boundaries.
Does Condense reduce the need for custom streaming code?
Yes. Condense standardizes common streaming patterns through built-in pipelines, transforms, and connectors. Teams still write logic where needed, but with less glue code, fewer ad-hoc services, and clearer operational boundaries.
Does Condense reduce the need for custom streaming code?
Yes. Condense standardizes common streaming patterns through built-in pipelines, transforms, and connectors. Teams still write logic where needed, but with less glue code, fewer ad-hoc services, and clearer operational boundaries.