The Visual Big Data Analytics platform for your
Real-time Enterprise

Rapidly build and operationalize Stream Processing and Machine Learning applications

 

 

A Unified Platform for Stream and Batch Processing

Support all use cases; real-time, near real-time or batch.

Strong Ecosystem Integration
 

Compatible and integrated with leading big data technologies and platforms.

Open Source Powered Enterprise-grade Platform

Ensure future readiness, avoid vendor lock-in.

Strong Data Science Enablement

Operationalize machine learning at scale, on real-time data.

Click + Code

Use pre-integrated drag-and-drop operators in a visual UI.

Multi-engine Platform

A single, consistent user experience for application development over multiple Big Data engines, including Storm, Spark, Tensorflow, and Flink.

Technology Agnostic and Extensible

Keep full control and the flexibility to add new functionality and interfaces as the technology ecosystem evolves.

 

Data 360

A one-stop-shop for your complete data processing journey: ingest, data quality, data blending, transformation, analytics, action triggers, storage and visualization.

 

On-premise, Cloud, or Hybrid

Build on-premise or cloud applications that connect to infrastructure components and services no matter where they are.

 

Self-service

Use pre-built templates