Zero-latency CDC
CDC (Change Data Capture) involves continuously streaming inserts, updates, and deletes from source systems to create low latency materialised copies of the source data. It is a very common pattern with Apache Kafka.
The Tech
Streambased takes a fundamentally different approach to CDC by avoiding the need to fully materialise streaming data into Iceberg ahead of time. Instead of writing every change through a sink connector, Streambased composable views combine pre-materialised data in Iceberg with live data directly from Kafka.
The result is immediate data freshness, ensuring events are queryable as soon as they arrive in Kafka. By deferring materialisation, Streambased also significantly reduces the usual streaming to Iceberg pains.
Overall, this approach simplifies the architecture, reduces infrastructure and maintenance overhead, and delivers truly real-time analytics without the trade-offs of traditional CDC pipelines.
Let's find the right solution for your data
We're here to help you unlock the full potential of your streaming data. Tell us about your challenges or ideas — and let's explore how Streambased can support your business.