StreamAnalytix 2.0 is a real-time data analytics platform that offers multi-engine support, allowing users to choose the best streaming engine for their use case. It provides an easy drag-and-drop UI and supports technologies like Spark Streaming, Kafka, and Storm. StreamAnalytix enables enterprises to analyze and respond to events in real time at big data scale.

1. Data Sheet
StreamAnalytix 2.0
Industry’s Only Multi-Engine Streaming
Analytics Platform
KEY FEATURES
• Easy drag-and drop UI
• Complex event processing
• Predictive Analytics and
Machine Learning
CLUSTER MANAGER
A web-based application
that creates, configures and
manages clusters of
StreamAnalytix. It also
provides graphical information
about the health of the cluster
and can configure alerts and
notifications
• Real-time Dashboards
StreamAnalytix 2.0 is architected to provide a level of abstraction that allows for
the deployment of multiple streaming engines depending on the use-case
requirements. This affords customers a new level of “best-of-breed” flexibility in their
real-time architecture.
With StreamAnalytix, you can use the visual IDE and an enhanced set of powerful
stream processing operators to easily construct data pipelines in a matter of minutes.
You can then deploy them to a stream processing engine of choice.
Enterprises are now rapidly moving to add real-time streaming analytics as a strategy for
becoming more agile and responsive to data available in real-time. StreamAnalytix is a
platform to build and deploy streaming analytics applications for any industry vertical, any
data format, and any use case.
Focus on your business logic. Leave the plumbing to StreamAnalytix
• Support for Spark Streaming
A rich array of drag-and-drop Spark data transformations including Machine Learning
operations to analyze data using SQL queries and save the query output in a data
store of choice. Built-in operators for predictive models with inline model-test feature
and graphs to visually analyze data for models like Neural Networks and Tree.
• Proven Open Source Stack
Ingest, store, and analyze millions of events per second with a pre-integrated package
of industry-preferred Open Source components: Hadoop, NoSQL, Kafka, RabbitMQ,
Apache Storm, Elastic Search, and Apache Solr.
• Visual Performance Monitoring
Monitor performance of running applications and their underlying compute components
visually through graphs. Set alerts to get real-time notification on threshold breaches.
• Rapid App Development
Integrate custom applications into the real-time data pipeline by visual drag and drop.
Rapidly port predictive analytics and machine learning models built in SAS or R via
PMML onto real-time data.
• Open, Flexible, & Extensible
Use any fast-ingest data store of your choice. Bring in any number of proprietary or
standard data sources. Integrate the real-time data pipeline with other existing
applications, based on configurable conditions.

2. © 2016 Impetus Technologies, Inc.
All rights reserved. Product and
company names mentioned herein
may be trademarks of their
respective companies.
September 2016
Website: http://www.streamanalytix.com | Email: inquiry@streamanalytix.com
• Real-time Visualization
View Spark pipeline data on enhanced self-service real-time dash-boards with
user-editable widgets for various chart types. Create custom visualizations or
integrate with third party dashboards using web socket connections.
• Support for Message Queueing: Additional support for industry standard
message queue systems, including TIBCO, ActiveMQ, IBM MQ, Amazon
Kinesis and S3.
• Varied Data Processing: A rich array of real-time data processing functions
for string, time, date, numeric and other data types such as GeoPoint.
• Versioning: Create different versions of the pipeline and roll back to the
older version for testing and debugging.
• Extensibility: Extensibility of stream-processing operators and libraries with
user-defined functions.
• Complex Event Processing: Embedded Complex Event Processing engine
enhanced for high-availability support.
• Multi-tenancy Controls: Restrict resources for specific tenants and pipelines
with multi-tenancy controls.
• Smooth Blending: Code-free enrichment and blending of streaming data
and static data with lookups and MVEL expressions.
• Data Encryption Support: Support for incoming/ outgoing data encryption
through Kerberos and SSL for Storm pipelines. LDAP/ ActiveX based
authentication for the web-based administration UI.
New Features Available in StreamAnalytix 2.0
StreamAnalytix, a product of Impetus Technologies, enables enterprises to analyse and
respond to events in real-time at Big Data scale. Now featuring support for Apache Spark
Streaming. it is currently the industry's only platform that provides the powerful advantage
of offering users with multi-engine support-which provides the flexibility to match the choice
of stream processing engine to the requirements of a particular use case.
StreamAnalytix at a Glance
REAL-TIME DATA ANALYTICS PLATFORM