STREAM ANALYTIXIndustry’s only Multi-Engine Streaming Analytics

Platform

One Platform for All Create real-time streaming data analytics applications in minutes with a powerful

visual editor

Get a wide variety of built-in sources and sinks including HDFS, Amazon S3, RDBMS

and EDWs, Kafka, Cassandra and Elasticsearch

Easily connect different pipelines together with sub-system integration

Extend the built-in sources and sinks with reusable custom operators

Why StreamAnalytix? Industry's First Multi-Engine Platform

Based on Open Source

Build Apps with Minimal Coding

How Can StreamAnalytix HelpYour Business?

Enterprises can leverage the power of StreamAnalytix and our world-class professional services team to build breakthrough solutions that deliver significant business value.

Some examples include:

Real-time VOIP and Call Center Analytics

Streaming ETL

Log Analytics

Real-time Marketing

Deep Social Listening

Predictive Maintenance

Best in Class, Real-timeStream Analytics

StreamAnalytix allows enterprises in any industry to quickly and easily create applications to implement their real-time use cases. Enterprises can use StreamAnalytix to take full advantage of the worldwide Open Source movement with a fully pre-tested and supported enterprise class platform. Some key features of StreamAnalytix are:

Visual Application Development & Monitoring

Design, import and export real-time data pipelines

Drag, drop and connect operators to create applications

Monitor detailed metrics of each task and each instance

Set and get alerts based on performance thresholds

Developer Toolkit

Rich library of stream processing functions

Enrich the context of streaming data with static data lookups

Define variables that can be shared across workspaces

Create different versions of a pipeline and roll back to an older version

Integrate two or more entire pre-built pipelines which may individually use different

streaming engines

Spark Streaming

Rich array of drag-and-drop Spark data transformations including MLlib (Machine

Learning) operations

SparkSQL support to analyze data flowing in a pipeline using SQL queries

Built-in operators for predictive models including inline model-test feature and visual

analysis of model data

Complex Event Processing(CEP)

Readymade UI driven operator for complex event processing

Multi-stream joins and analytics

Statistical operators and time window functions

High availability for CEP operator

Rule-based Alerts

Web-based run-time alert configuration

Alerts stored for queries and offline analytics

Support for multiple rules

Pluggable Workflow Management

Configurable abstraction layer

Integration of Business Process Modeling (BPM) tools with the system

Useful in integrating pre-existing logic into the framework

Real-time Index & Research

Indexes the data as it arrives

Enables blazing fast queries in real-time

Run-time modification of indexing parameters

Auto-linking between meta-data and content

REST and Thrift support

Real-time Dashboards

Connect a "streamer" to the data pipeline

Stream data and analytics to a live web UI

Create and design numerous chart-widgets

Arrange widgets to form live dashboards

High Speed Data Ingestion

Configuration driven

Built-in support for industry standard message queue systems:

Kafka, RabbitMQ, TIBCO, and ActiveMQ

Elastic Scaling

Scale out with commodity hardware

Million events/ second on ten nodes

Abstracted from the application

Multi-tenancy Support & User Management

Create different "workspaces" for different tenants

Multiple tenants share the real-time streaming cluster

Support for LDAP based authentication

Control resource allocation for each tenant and/ or application

Super-admin can create workspace admins and regular users

Comprehensive Monitoring &Management

Web-based interface to manage system settings and configurations

View logs on the UI to monitor debug system and application errorsNotification

alerts on sub-system crash

Stream Analytics Architecture

Contact

Stream Analytix

Impetus Technologies, Inc. 720 University Avenue,

Suite 130 Los Gatos, CA 95032, USA

Web

www.streamanalytix.com

info@streamanalytix.com

Phone

4082133310