Streamkap vs Airbyte: Managed Real-Time CDC vs Open-Source ETL
Blog post from Streamkap
The comparison between Streamkap and Airbyte highlights a significant choice in the data engineering landscape: opting for managed real-time streaming versus flexible open-source batch ETL solutions. Airbyte, an open-source tool launched in 2020, offers a wide range of connectors and flexibility in deployment, appealing to budget-conscious teams with DevOps capabilities and those needing broad connector coverage. It operates on a batch and incremental ETL model, making it suitable for analytics and reporting where near-real-time data is not crucial. Conversely, Streamkap provides a fully managed, real-time Change Data Capture (CDC) platform with sub-second latency, eliminating the need for infrastructure management and enabling use cases like fraud detection, inventory synchronization, and real-time machine learning. Streamkap's architecture is event-driven, utilizing log-based CDC, Kafka, and Flink for real-time transformations, making it ideal for teams requiring true real-time data without the operational burden of managing infrastructure. The choice between these platforms often depends on the need for real-time data and the willingness to manage infrastructure, with some organizations opting for a hybrid approach to leverage the strengths of both.