An enterprise running Kafka on Google Cloud struggled with long, brittle KSQL chains spread across multiple teams. Every change introduced risk, and managing intermediate topics became a constant operational challenge.
By moving their multi-stage processing logic into Condense Custom Transforms, the team consolidated their streaming logic into a single platform. Engineers now build, test, and deploy transformations directly using Condense’s inbuilt IDE.
Transforms are modular, versioned, and independently deployable so updates no longer break downstream pipelines.
Cleaner data flows, faster iteration, and a system that scales without the operational drag of traditional Kafka setups all running on fully managed Kafka in their own GCP project
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
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
