STREAM ANALYTIXIndustry’s only Multi-Engine Streaming Analytics
Platform
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
How Can StreamAnalytix HelpYour 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
Best in Class, Real-timeStream 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
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
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
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
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
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
www.streamanalytix.com
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