• Built to automate data flow between system.

• Design concepts closely relate to the main ideas of Flow Based Programming

• Visual creation and management of directed graphs of processors.

• Asynchronous which allows for very high throughput and natural buffering even as

processing and flow rates fluctuate.

• Web-based user interface

• Seamless experience between design, control, feedback, and monitoring

• Highly configurable

• Loss tolerant vs guaranteed delivery

• Low latency vs high throughput

• Dynamic prioritization

• Flow can be modified at runtime

• Back pressure

• Data Provenance

• Track dataflow from beginning to end

• Designed for extension

• Build your own processors and more

• Enables rapid development and effective testing

• Secure

• SSL, SSH, HTTPS, encrypted content, etc...

• Pluggable role-based authentication/authorization

• Enterprise application integration, ETL

• Data Ingestion & Streaming

Easily and efficiently inject data into hadoop

• IoAT Optimization

Secure, Prioritize, Enrich and Trace data at edge

• Data Security

Acquire and prioritize data into data lake for analysis

• Compliance

Gain full transparency into provenance and flow of data

Introduction Architecture

Features Use case

Better analytics demands better dataflow

Thank You !- Abhishek Solanki