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Streamkap vs Airbyte

Airbyte offers open-source flexibility. Streamkap offers fully managed real-time CDC. Choose based on whether you want to manage infrastructure or focus on data.

TL;DR: Choose Streamkap for real-time, fully managed CDC. Choose Airbyte if you want open-source flexibility and can manage Kubernetes infrastructure.

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Real-time
Data Freshness

Sub-second latency vs scheduled syncs

0
Infrastructure

Fully managed vs self-hosted

Native
CDC Support

Built on Debezium vs limited CDC

Feature Comparison

Feature
Streamkap
Airbyte
Data freshness
Sub-second
Minutes to hours
Deployment model
Fully managed
Self-hosted or Cloud
CDC support
Native Debezium
Limited, varies by connector
Infrastructure required
None
Kubernetes cluster
Stream processing
Apache Flink built-in
None (external dbt)
Schema evolution
Automatic
Manual intervention often needed
Kafka integration
Native - read/write
Basic sink only
Multi-tenant CDC
100K+ tables
Not optimized
Connector count
60+
300+
Support
Enterprise SLAs
Community or paid
Pricing
Per GB
Per row (Cloud) or free (OSS)

Understanding the Differences

Airbyte's Approach

Airbyte is an open-source ELT platform with a large connector library. You can self-host on Kubernetes or use Airbyte Cloud.

  • Self-hosting requires Kubernetes expertise
  • Airbyte Cloud has usage limits and costs
  • Many connectors lack CDC support
  • Incremental syncs may miss deletes

Streamkap's Approach

Streamkap is a fully managed platform focused on real-time CDC using Debezium, with built-in Kafka and Flink.

  • Always fully managed - no Kubernetes needed
  • True CDC for supported databases
  • Smaller but focused connector library
  • Built-in stream processing

Which Should You Choose?

Choose Streamkap if you need:

  • Real-time CDC requirements
  • No infrastructure management capacity
  • Production-grade reliability needed
  • Stream processing requirements
  • Kafka-centric architectures
  • Enterprise support requirements
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Consider Airbyte if you need:

  • Open-source preference
  • Wide connector library needs (300+)
  • Existing Kubernetes expertise
  • Budget constraints (OSS is free)
  • SaaS source connectors
  • Community-supported is acceptable

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