Developers

Company

Resources

Try For Free

Developers

Company

Resources

Try For Free

Kafka, Queues, or Managed
Streams or a Full Platform?

Condense gives you a managed Kafka‑based streaming platform in your cloud, with low‑code pipelines, connectors, and governance so you focus on product, not broker choices

Condense gives you managed Kafka in your own cloud, a low‑code pipeline builder, connectors, and built‑in security so you ship real‑time apps faster

Condense gives you managed Kafka in your own
cloud, a low‑code pipeline builder, connectors, and built‑in security so you ship real‑time apps faster

Check Comparison

No Payment Details Required!

Your Real-Time Setup, Done Right

By Clicking on "Get Custom Solution", you consent to receiving occasional communications from Zeliot and acknowledge that your personal information will be handled in line with our Privacy Policy.

Kafka vs RabbitMQ vs NATS vs Kinesis: Different Jobs

Kafka is a distributed streaming platform optimized for high throughput, ordered logs, and replay; RabbitMQ and similar brokers focus on flexible messaging patterns; managed services like Kinesis and Pub/Sub hide infra at the cost of engine control.

Echology	Core Strength / Design Goal
Kafka	High‑throughput, partitioned event streaming with durable logs and replay.
RabbitMQ	General‑purpose message broker, flexible routing, lower throughput, strong queuing.
NATS	Ultra‑fast, simple pub/sub for lightweight messaging, not long‑term streams.
Kinesis	Fully managed AWS streaming with auto‑scaling, deep AWS integration.
Pub/Sub	Fully managed GCP messaging with global distribution and autoscaling

Choosing an engine still leaves you building a platform

Kafka performance vs RabbitMQ / Kafka vs RabbitMQ

Kafka typically offers much higher throughput than RabbitMQ (e.g., up to orders of magnitude more messages/sec) by batching and partitioning, while RabbitMQ can have lower latency at modest volumes but struggles at Kafka‑scale workloads.

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

NATS vs Kafka / Pub/Sub vs Kafka / Kinesis vs Kafka

NATS and Pub/Sub/Kinesis simplify ops with managed services and autoscaling, but hide internal details and may lack Kafka’s replay semantics or broad ecosystem.

Kafka gives more control and ecosystem breadth, but demands cluster and client management.

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Redis queue vs Kafka / message queues vs streaming platforms

Queues like Redis/RabbitMQ excel at task distribution and RPC‑like patterns; Kafka excels at event logs, replay, and long‑term streaming, so many teams end up combining multiple systems and gluing them together

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Stop comparing brokers and start designing pipelines

Built on Kafka, deployed in your cloud (BYOC)

Pipelines instead of bespoke integrations

Governance and security first

If you’re here Googling comparisons, here’s the bigger picture

	Condense	Raw Kafka	RabbitMQ / NATS	Kinesis / Pub/Sub
Type	Kafka-based streaming platform	Streaming Platform / Log	Message Brokers	Managed cloud streaming / messaging
Throughput & Replay	Inherits Kafka Performance + Platform features	Very High + Durable Replay	Lower throughput, limited replay	High, but engine-specific semantics
Ops Responsibility	Condense managed Kafka in your cloud	Your team runs clusters	Your team runs brokers	Cloud provider runs service
Platform Layer	Included: Pipelines, Connectors and Governance	Build it yourself	Build it yourself	Build it yourself

	Condense	Raw Kafka	RabbitMQ / NATS	Kinesis / Pub/Sub
Type	Kafka-based streaming platform	Streaming Platform / Log	Message Brokers	Managed cloud streaming / messaging
Throughput & Replay	Inherits Kafka Performance + Platform features	Very High + Durable Replay	Lower throughput, limited replay	High, but engine-specific semantics
Ops Responsibility	Condense managed Kafka in your cloud	Your team runs clusters	Your team runs brokers	Cloud provider runs service
Platform Layer	Included: Pipelines, Connectors and Governance	Build it yourself	Build it yourself	Build it yourself

Frequently Asked Questions (FAQs)

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.

Conclusion

If you’re comparing Kafka performance to RabbitMQ, NATS, Pub/Sub, or Kinesis, you’re already thinking about scale. Condense lets you standardize on Kafka’s strengths while giving your teams a complete streaming platform in your own cloud

Kafka, Queues, or ManagedStreams or a Full Platform?

Condense gives you managed Kafka in your own cloud, a low‑code pipeline builder, connectors, and built‑in security so you ship real‑time apps faster

Condense gives you managed Kafka in your owncloud, a low‑code pipeline builder, connectors, and built‑in security so you ship real‑time apps faster

Check Comparison

Check Comparison

Your Real-Time Setup, Done Right

Email Address*

Company*

Region*

Primary Challenge*

Reducing Infra Costs

Faster Deployments

Migration from Existing Kafka

Scaling Issues

Your Requirements / Comments

Get Custom Solution

Get Custom Solution

Get Custom Solution

By Clicking on "Get Custom Solution", you consent to receiving occasional communications from Zeliot and acknowledge that your personal information will be handled in line with our Privacy Policy.

Kafka vs RabbitMQ vs NATS vs Kinesis: Different Jobs

Kafka is a distributed streaming platform optimized for high throughput, ordered logs, and replay; RabbitMQ and similar brokers focus on flexible messaging patterns; managed services like Kinesis and Pub/Sub hide infra at the cost of engine control.​

Choosing an engine still leaves you building a platform

Kafka performance vs RabbitMQ / Kafka vs RabbitMQ

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

NATS vs Kafka / Pub/Sub vs Kafka / Kinesis vs Kafka

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

Redis queue vs Kafka / message queues vs streaming platforms

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decouplingand scalability

Stop comparing brokers and start designing pipelines

Built on Kafka, deployed in your cloud (BYOC)

Pipelines instead of bespoke integrations

Governance and security first

If you’re here Googling comparisons, here’s the bigger picture

Frequently Asked Questions (FAQs)

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.​

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.​

Is Condense a replacement for Kafka itself?

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.​

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.​

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.​

Can Condense integrate with my existing RabbitMQ, NATS, or Kinesis setup?

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.​

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.​

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.​

If Kafka is faster than RabbitMQ, why not just use Kafka directly?

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.​

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.​

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.​

How do I choose between Pub/Sub, Kinesis, and a Kafka‑based platform?

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.​

Conclusion

If you’re comparing Kafka performance to RabbitMQ, NATS, Pub/Sub, or Kinesis, you’re already thinking about scale. Condense lets you standardize on Kafka’s strengths while giving your teams a complete streaming platform in your own cloud

Book a Demo

Book a Demo

Explore Pricing

Explore Pricing

Scroll to Top

Kafka, Queues, or Managed
Streams or a Full Platform?

Condense gives you managed Kafka in your own
cloud, a low‑code pipeline builder, connectors, and built‑in security so you ship real‑time apps faster

Kafka is a distributed streaming platform optimized for high throughput, ordered logs, and replay; RabbitMQ and similar brokers focus on flexible messaging patterns; managed services like Kinesis and Pub/Sub hide infra at the cost of engine control.

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Services publish domain events (OrderCreated, PaymentProcessed) to topics; other services subscribe and react, improving decoupling
and scalability

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Condense is a Kafka‑based streaming platform: it uses Kafka as the engine and focuses on pipelines, connectors, and governance; in many cases it replaces the need for separate queues/streams for event‑driven apps.

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

Yes; Condense can sit alongside existing messaging systems and consume or produce events to them via connectors, so you can gradually move core streaming workloads onto Kafka‑backed pipelines.

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

Kafka often offers higher throughput and replayability than RabbitMQ, but operating Kafka and building a streaming platform around it is non‑trivial; Condense provides that platform on managed Kafka so teams get Kafka’s benefits without Kafka’s operational overhead.

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.

Pub/Sub and Kinesis are simple managed services tied to their clouds, while a Kafka‑based platform like Condense gives multi‑cloud flexibility, Kafka ecosystem compatibility, and a richer pipeline platform, deployed into your cloud account.