vs Redpanda Complete CDC Platform vs
Message Broker
Redpanda is a great Kafka-compatible streaming platform. But for CDC workloads, you still need to build connectors, transforms, and sinks. Streamkap delivers the complete stack with P99 latency under 250ms—source to destination.
Why Teams Choose Streamkap
Platform vs Infrastructure
Complete Platform vs DIY Infrastructure
Redpanda provides excellent Kafka-compatible infrastructure, but you still need to build CDC connectors, stream processing, and destination sinks. Streamkap delivers the complete stack out of the box.
P99 Latency Under 250ms
End-to-end latency from database change to destination—not just broker latency. Streamkap measures what matters: how fast your data warehouse, lakehouse, or application sees the change.
50+ Managed Connectors
Streamkap includes managed CDC connectors for PostgreSQL, MySQL, MongoDB, SQL Server, and 50+ other sources—all maintained and updated automatically. With Redpanda, you need to deploy and manage Debezium or other CDC tools yourself.
Native Lakehouse Delivery
Stream CDC directly to Apache Iceberg, Delta Lake, Snowflake, and BigQuery with built-in optimizations. No need to build and maintain sink connectors—data lands in your lakehouse in real-time.
Built-in Apache Flink Transforms
Transform data in-flight with SQL, Python, or TypeScript using our managed Flink cluster. With Redpanda, you'd need to provision and manage a separate Flink deployment.
Zero Ops, Zero Kafka Expertise Needed
Streamkap handles all infrastructure—Kafka, Flink, connectors, scaling, and monitoring. Get the power of streaming without building a platform team.
Feature Comparison
Streamkap vs Redpanda
| Feature | Streamkap | Redpanda |
|---|---|---|
| Solution Type | Complete CDC platform | Message broker (Kafka-compatible) |
| End-to-End Latency | P99 <250ms source to destination | Broker only—CDC latency depends on DIY stack |
| CDC Connectors | 50+ built-in, managed | Build/manage yourself |
| Stream Processing | Apache Flink (SQL, Python, TypeScript) | Requires separate setup |
| Lakehouse Support | Native Iceberg, Delta Lake, Hudi | Iceberg (sink connectors DIY) |
| Time to Production | Minutes | Weeks (build CDC stack) |
| Operational Overhead | Zero-ops, fully managed | Manage connectors & transforms |
| Kafka Access | Full Kafka API access | Full Kafka API access |
| Destination Connectors | Snowflake, BigQuery, Iceberg, ClickHouse, more | Need to build/manage sinks |
| Schema Registry | Included with governance | Included |
What You Get
Complete Stack vs Build Your Own
Streamkap (All Included)
Everything included, zero ops
Redpanda (You Build)
Requires platform engineering
Time to Value
Minutes vs Months
Building a production CDC pipeline with Redpanda requires assembling and maintaining multiple components: Debezium for CDC, Kafka Connect for connectors, and potentially Flink for transforms.
With Streamkap, you connect your source database, configure transforms if needed, and start streaming to any destination - all in minutes, not months.
- No Debezium configuration or management
- No Kafka Connect cluster to maintain
- No Flink cluster to provision
- No pipeline monitoring to build
Time to First Pipeline
End-to-End P99 Latency
Focus on your product, not building data infrastructure
Right Tool for the Job
When to Use Each
Choose Streamkap When
- You need CDC from databases to destinations
- You need real-time data in Iceberg, Snowflake, or BigQuery
- You want stream processing without managing Flink
- You prefer zero-ops over building platform expertise
- You want to ship quickly without infra investment
Consider Redpanda When
- You need a general-purpose message broker
- You have a platform team to build/maintain CDC
- You have custom streaming needs beyond CDC
- You want to build your own data platform
Stream Data Without Building Infrastructure
Get a complete CDC platform with managed Kafka, Flink, and 50+ connectors. Start streaming in minutes.