Event-driven real-time extract/transform/load with schema evolution and zero-downtime deploys.
Everything you need for modern data pipeline orchestration
Process millions of events per second with sub-millisecond latency. True streaming, not micro-batching.
Automatically handle schema changes with backward and forward compatibility. No pipeline breaks.
Deploy updates without stopping your pipelines. Blue-green deployments with automatic rollback.
Intelligent anomaly detection and auto-optimization. Let AI tune your pipelines for peak performance.
Drag-and-drop interface for building complex data pipelines. No coding required for common patterns.
End-to-end tracing, metrics, and logging. Know exactly what's happening at every stage of your pipeline.
From data source to destination in three simple steps
Connect to 100+ data sources with pre-built connectors. Support for databases, APIs, message queues, and file systems.
Apply powerful transformations with SQL, Python, or visual rules. Built-in data quality checks and validation.
Deliver data to any destination with exactly-once semantics. Real-time sync with automatic conflict resolution.
Trusted by data engineers, analysts, and platform teams worldwide
Power live dashboards and reports with fresh data. Aggregate, window, and join streams in real-time.
Capture changes from databases and replicate across systems. Keep all your data stores in perfect sync.
Build event-driven architectures with complex event processing. Detect patterns and trigger actions in real-time.
Stream features to your ML models in production. Keep feature stores fresh with real-time updates.
Join thousands of data teams using StreamETL AI to build reliable, real-time data infrastructure.
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