FOR DATA ENGINEERS
Build Reliable Pipelines, Faster
Stop managing Kafka clusters and Debezium deployments. Streamkap handles the infrastructure so you can focus on delivering value with data.
We understand your challenges
Managing streaming infrastructure is complex
Streamkap is fully managed. No Kafka clusters, no Debezium connectors, no Flink jobs to maintain.
Batch ETL can't meet business latency requirements
Move to real-time with CDC. P99 latency under 250ms, source to destination.
Schema changes break pipelines
Automatic schema evolution with built-in schema registry handles changes without manual intervention.
Hard to troubleshoot pipeline issues
Built-in monitoring, lag tracking, data lineage, and alerts give you full visibility.
Built for data engineers
CLI & Terraform Provider
Manage pipelines as code with our CLI and Terraform provider.
Native Lakehouse Delivery
Stream CDC directly to Apache Iceberg, Delta Lake, Snowflake, and BigQuery with built-in optimizations.
SQL, Python & TypeScript
Transform data with SQL, Python (PyFlink), or TypeScript. Use the language you know.
Built-in Governance
Schema registry, audit logs, and data lineage included. No add-ons required.
Version Control Friendly
Pipeline configs are YAML. Check them into git, review in PRs.
API Access
Full REST API for automation and integration with your tooling.
Your workflow, streamlined
Define Your Pipeline
Configure sources, transforms, and destinations in the UI or via code.
Deploy & Monitor
Deploy with a click or via CI/CD. Monitor in the built-in dashboard.
Iterate & Scale
Make changes confidently with automatic scaling and zero-downtime updates.
Ready to simplify your data pipelines?
Start streaming in minutes. No infrastructure to manage.