Enterprises are now
rapidly moving to add Real Time Analytics and Stream Analytics as a strategy for
becoming more agile and
responsive to data available in Real Time
Analytics. 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 StreamAnalytics processing engine of choice.
Focus on your business
logic. Leave the plumbing to StreamAnalytix
Support for Spark
Streaming Analytics
A rich array of
drag-and-drop Spark data
analytics 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.
• 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,
ApacheStorm, Elastic Search, and Apache Solr.
• 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.
• 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.
StreamAnalytix, a product
of Impetus Technologies, enables enterprises to analyse and
respond
to events in real timeanalytics at Big Dataanalytics. Now featuring support for ApacheSpark 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: www.streamanalytix.com
| Email: inquiry@streamanalytix.com
No comments:
Post a Comment