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Pick a Kafka Engine or a
Complete Real‑Time Data Platform
Pick a Kafka Engine or a Complete Real‑Time Data 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 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
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Platform Capabilities
Fully managed BYOC
Low-Code/No-Code Platform
Vast Library of Connectors
Enterprise‑Grade Security & Data Privacy
What are you Really Choosing?
Kafka and Redpanda solve the cluster and log problem; Condense solves the end‑to‑end streaming platform problem on top of managed Kafka in your cloud
| Condense | Redpanda | |
|---|---|---|
| Source Language | Java | C++ |
| Zookeeper Dependency | No dependency. ZooKeeper was removed by KRaft since version 3.3+ | No dependency. ZooKeeper-free and uses the Raft consensus algorithm. |
| Storage Pattern | Kafka has a purpose-built log and replication layer optimized for sequential IO | Redpanda can demonstrate low latency and high throughput on simple workloads. However, because it’s optimized for random IO, its performance can significantly degrade over time. |
| Tiered Storage | Released in Kafka 3.6 as early access through KIP-405 | Requires Enterprise License. Redpanda’s tiered storage requires the purchase of an enterprise license. |
| Replication Protocol | Replication is synchronous but data is written to disk asynchronously by design. Brokers don’t need to fsync for correctness and have in-built data recovery and repair. | Both replication and writing to disk are synchronous. Data must be written (fsynced) to disk synchronously, otherwise, it is possible to lose data during an election of a new leader. |
| Contribution model and Adaption | Actively managed and maintained by 1,000+ full-time contributors at over a dozen companies | Solely developed and maintained by Redpanda, with restrictive commercial support from other vendors due to BSL license agreement. |
| Operations and Scalability | Automated and fully-managed Kafka clusters with no sizing, provisioning, scaling, or maintenance burdens. | Infrastructure operations and maintenance considerations shared between customer, Redpanda, and cloud provider. |
| Availability | 99.95 for multi zone | 99.99 for multi zone |
| Upgrades and Patches | Zero intervention as part of non-disruptive rolling upgrades to latest stable Kafka version. | May take time for platform to catch up on latest Kafka version as it has a different source than Apache Kafka |
| Productivity | No-code Low-code stream processing, pipeline builder and custom transforms framework to build, deploy and manage proprietary services | No no-code / low-code stream processing or data pipelines solution. |
| Core cloud providers | Full support for AWS, GCP, and Azure | Fully available on AWS and GCP. Azure BYOC has some constraints and needs Redpanda Support's intervention. |
The Edge Condense Has Over Redpanda
Uses Kafka as the underlying data plane, delivered as a fully managed service in your own cloud (BYOC) via AWS, Azure, and GCP marketplaces
You spin up Condense from the marketplace, create a workspace, and immediately start
building pipelines on top of managed Kafka
You spin up Condense from the marketplace, create a workspace, and immediately start building pipelines on top of managed Kafka
Kafka API–compatible engine, focused
on low latency and efficient storage
Kafka API–compatible engine, focused on low latency and efficient storage
Kafka API–compatible engine, focused on low latency and efficient storage
You design and operate clusters: sizing,
scaling, replication, upgrades, and failover
You design and operate clusters: sizing, scaling, replication, upgrades, and failover
You design and operate clusters: sizing, scaling, replication, upgrades, and failover
Get Started with Condense in 3 Simple Steps
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
Connectors Available on Condense
Amazon SQS
MySQL
Snowflake
PostgreSQL
Rabbit MQ
Mongo DB
SQLite
Apache Kafka
Slack
Apache Active MQ
Amazon Relational Database
Amazon Data Streams
Big Table
Google Cloud Pub/Sub
Influx DB
Dynamo DB
IBM DB2
Maria DB
IBMMQ
Github
Hive MQ
Tableau
Zendesk
Email
Teams
PowerBi
Oracle Database
Whatsapp
Data Bricks
Use Case
How an Enterprise Simplified Multi-Stage Processing with Condense
How an Enterprise Simplified
Multi-Stage Processing w/ Condense
An enterprise struggling with long, brittle KSQL chains moved their entire multi-stage processing logic into Condense Custom Transforms and everything got simpler.
Instead of managing dozens of intermediate topics and tightly coupled queries, their team now builds and tests logic directly in Condense inbuilt IDE
Transforms are modular, versioned, and independently deployable, so updates no longer break the pipeline
The Impact
Cleaner data flows, faster iteration, and a system that scales without the operational drag of legacy KSQL-based setups, all running on fully managed Kafka in their own cloud
An enterprise struggling with long, brittle KSQL chains moved their entire multi-stage processing logic into Condense Custom Transforms and everything got simpler.
Instead of managing dozens of intermediate topics and tightly coupled queries, their team now builds and tests logic directly in Condense inbuilt IDE
Transforms are modular, versioned, and independently deployable, so updates no longer break the pipeline
The Impact
Cleaner data flows, faster iteration, and a system that scales without the operational drag of legacy KSQL-based setups, all running on fully managed Kafka in their own cloud
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Frequently Asked Questions (FAQs)
Is Condense a Kafka engine like Redpanda?
Condense provides fully managed Kafka running in your own cloud (BYOC), along with a complete real-time data streaming platform on top of it. Redpanda is a Kafka-API–compatible streaming engine focused on performance. Condense delivers Kafka itself as a managed service, plus the tooling required to build, run, and operate real-time streaming applications end to end
Is Condense a Kafka engine like Redpanda?
Condense provides fully managed Kafka running in your own cloud (BYOC), along with a complete real-time data streaming platform on top of it. Redpanda is a Kafka-API–compatible streaming engine focused on performance. Condense delivers Kafka itself as a managed service, plus the tooling required to build, run, and operate real-time streaming applications end to end
Is Condense a Kafka engine like Redpanda?
Condense provides fully managed Kafka running in your own cloud (BYOC), along with a complete real-time data streaming platform on top of it. Redpanda is a Kafka-API–compatible streaming engine focused on performance. Condense delivers Kafka itself as a managed service, plus the tooling required to build, run, and operate real-time streaming applications end to end
How is Condense different from Redpanda?
Redpanda focuses on being a high-performance Kafka-compatible engine. Condense focuses on delivering: - Fully managed Kafka in your cloud (BYOC) - Built-in connectors and ingestion pipelines - Stream processing and transformation - Security, governance, and observability - Simplified operations across the full data streaming lifecycle With Redpanda, teams still design and operate the streaming platform. With Condense, the platform is managed for you
How is Condense different from Redpanda?
Redpanda focuses on being a high-performance Kafka-compatible engine. Condense focuses on delivering: - Fully managed Kafka in your cloud (BYOC) - Built-in connectors and ingestion pipelines - Stream processing and transformation - Security, governance, and observability - Simplified operations across the full data streaming lifecycle With Redpanda, teams still design and operate the streaming platform. With Condense, the platform is managed for you
How is Condense different from Redpanda?
Redpanda focuses on being a high-performance Kafka-compatible engine. Condense focuses on delivering: - Fully managed Kafka in your cloud (BYOC) - Built-in connectors and ingestion pipelines - Stream processing and transformation - Security, governance, and observability - Simplified operations across the full data streaming lifecycle With Redpanda, teams still design and operate the streaming platform. With Condense, the platform is managed for you
Does Condense replace Kafka?
No. Condense runs Kafka. It manages Kafka clusters in your cloud and adds the required layers to turn Kafka into a production-ready data streaming platform, rather than just a messaging backbone
Does Condense replace Kafka?
No. Condense runs Kafka. It manages Kafka clusters in your cloud and adds the required layers to turn Kafka into a production-ready data streaming platform, rather than just a messaging backbone
Does Condense replace Kafka?
No. Condense runs Kafka. It manages Kafka clusters in your cloud and adds the required layers to turn Kafka into a production-ready data streaming platform, rather than just a messaging backbone
Who should choose Redpanda?
Choose Redpanda if: - You want to operate a Kafka-compatible engine yourself - Your team has deep Kafka operational expertise - You prefer maximum control over cluster internals and tuning
Who should choose Redpanda?
Choose Redpanda if: - You want to operate a Kafka-compatible engine yourself - Your team has deep Kafka operational expertise - You prefer maximum control over cluster internals and tuning
Who should choose Redpanda?
Choose Redpanda if: - You want to operate a Kafka-compatible engine yourself - Your team has deep Kafka operational expertise - You prefer maximum control over cluster internals and tuning
Who should choose Condense?
Choose Condense if: - You want Kafka fully managed in your own cloud - You want to reduce Kafka operational overhead - You need faster development of real-time pipelines and applications - You want connectors, processing, security, and observability built in
Who should choose Condense?
Choose Condense if: - You want Kafka fully managed in your own cloud - You want to reduce Kafka operational overhead - You need faster development of real-time pipelines and applications - You want connectors, processing, security, and observability built in
Who should choose Condense?
Choose Condense if: - You want Kafka fully managed in your own cloud - You want to reduce Kafka operational overhead - You need faster development of real-time pipelines and applications - You want connectors, processing, security, and observability built in
Conclusion
If you’re evaluating Kafka or Redpanda, you’re choosing an engine. Condense gives you a managed Kafka engine in your cloud plus the platform and tooling to build, secure, and scale real-time applications quickly