Stream Analytics

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STREAM ANALYTIX
Industrys only Multi-Engine Streaming Analytics
Platform
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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

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How Can StreamAnalytix Help Your 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
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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

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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

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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

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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

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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
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Stream Analytics Architecture
? ? View logs on the UI to monitor debug system
and application errorsNotification alerts on
sub-system crash
Contact
Stream Analytix Impetus Technologies, Inc. 720
University Avenue, Suite 130 Los Gatos, CA
95032, USA Web www.streamanalytix.com
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info_at_streamanalytix.com Phone [phone]