STREAM ANALYTIX. Industry s only Multi-Engine Streaming Analytics Platform

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1 STREAM ANALYTIX Industry s only Multi-Engine Streaming Analytics Platform

2 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

3 How Can StreamAnalytix Help Your Business? Enterprises can leverage the power of StreamAnalytix and our worldclass 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

4 Best in Class, Real-time Stream 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

5 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

6 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

7 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

8 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

9 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

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