Title: Stream Analytics (1)
1STREAM ANALYTIX
Industrys only Multi-Engine Streaming Analytics
Platform
2One 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
3How 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
4Best 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
5Developer 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
6Rule-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
7Real-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
8Elastic 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
9Stream 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
10info_at_streamanalytix.com Phone 4082133310