Industry's Only Multi-Engine Streaming Analytics Platform

1. Data Sheet StreamAnalytix 2.0 Industry’s Only Multi-Engine Streaming Analytics Platform 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. 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. 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. KEY FEATURES • Easy drag-and drop UI • Complex event processing • Predictive Analytics and Machine Learning • 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. • Real-time Dashboards • 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. 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 • 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. • 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. New Features Available in StreamAnalytix 2.0 • 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. REAL-TIME DATA ANALYTICS PLATFORM StreamAnalytix at a Glance © 2016 Impetus Technologies, Inc. All rights reserved. Product and company names mentioned herein may be trademarks of their respective companies. September 2016 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. Website: http://www.streamanalytix.com | Email: inquiry@streamanalytix.com