Enterprise Data Pipelines, Simplified
Built for modern data teams. Handle billions of events with confidence. 99.99% uptime guaranteed.
Cloud-native • Kubernetes-first • No vendor lock-in
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Built for Modern Data Teams
Whether you're building pipelines, managing infrastructure, or running ML experiments, Stream has you covered.
Pipeline Development Made Simple
Build, deploy, and monitor data pipelines with ease
Visual Pipeline Builder
Drag-and-drop interface with advanced DAG capabilities and dependency management
Real-Time & Batch Processing
Handle both streaming and batch workloads in a unified platform
Automatic Error Recovery
Smart retry mechanisms and failure handling with configurable policies
Pipeline Editor
Visual workflow design and monitoring
Built for Your Workflows
From ML pipelines to data lake management, Stream handles it all
ML Pipeline Integration
End-to-end ML workflows with built-in versioning and monitoring. From data prep to model deployment.
- Feature engineering pipelines
- Model training orchestration
- A/B testing & deployment
Data Lake Management
Organize and optimize your data lake. Automated partitioning, compaction, and lifecycle management.
- Multi-format support (Parquet, Iceberg, Delta)
- Automated data quality checks
- Cost optimization insights
Proven at Scale
Built on 20+ years of production experience
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Join leading data teams who trust Stream for their mission-critical pipelines.
Cloud-native • Enterprise support available • Custom deployment options