Stream-Based Data Pipeline Framework
Processes high-volume, real-time data from multiple sources through scalable pipelines, enabling instant analytics, alerting, and dashboard-ready business insights
Key features
Develop real-time pipelines that process continuous data streams, enabling faster analytics, seamless integration, and smarter decision-making:
Real-Time Processing
Process data streams instantly at scale
Enable rapid insights by processing continuous data streams in real time to support critical decisions
Scalable Pipelines
Build pipelines that scale seamlessly with demand
Ensure performance at scale with data pipelines designed to expand alongside growing workloads
Fault Tolerance
Maintain reliability with fault-tolerant architecture
Guarantee availability with self-healing pipelines that recover quickly from disruptions or failures
Multi-Source Input
Integrate multiple data sources into one pipeline
Simplify analysis by consolidating varied structured and unstructured streams into unified workflows
Analytics Integration
Connect streaming data directly to analytics systems
Deliver instant insights by sending real-time data into dashboards, BI tools, and analytics platforms
Cloud Deployment
Deploy pipelines on cloud for scalability and agility
Improve flexibility with pipelines that run securely in cloud environments across geographies










