Datawatch Panopticon Joins Confluent Partner Program
September 05 2018 - 10:09AM
Datawatch Panopticon Joins Confluent Partner Program
Datawatch Corporation (NASDAQ-CM: DWCH) today announced that it has
become a Technology Partner in the Confluent Partner Program.
Confluent has verified that the Panopticon Streaming Analytics
platform properly integrates with and supports Confluent Platform
and Apache Kafka® along with Kafka’s Streams API.
Confluent, provider of the leading streaming platform based on
Apache Kafka, designed its partner program to enable a rapidly
growing ecosystem around Kafka and Confluent. It is the largest
ecosystem of technology vendors, consulting and system integrators
as well as authorized training partners offering Kafka-based
solutions and services.
The Panopticon Streaming Analytics Platform is built on Kafka
and Kafka Streams and is a perfect fit for customers in any
industry requiring timely decision-making based on fast-changing
data. The Platform enables business users to build stream
processing data flows in a standard web browser, start their models
and begin visualizing output in minutes. With Panopticon, users
don’t need to know how to write any Java or Scala scripts to make
full use of Kafka’s enormous range of capabilities. Panopticon
supports a comprehensive set of real-time and time series data
visualization and data handling capabilities and works directly
with Kafka and Confluent Platform.
Confluent Platform expands Apache Kafka’s integration
capabilities, adds tools to optimize and manage Kafka clusters and
makes Kafka easier to build and operate. Confluent Partner Program
members have the opportunity to develop robust data connectivity
based on the Kafka Connect API, easily build stream processing
applications with Kafka’s Streams API and promote the solutions to
customers worldwide.
Peter Simpson, Vice President for Panopticon Streaming Analytics
at Datawatch, said, “The Panopticon Streaming Analytics platform
makes the speed and flexibility of Kafka and Kafka Streams
accessible to everyone who can benefit from building and deploying
their own monitoring and analysis systems without writing any code.
Working with Confluent is a key part of our go-to-market and
platform strategy. As we expand our Streaming Analytics
capabilities to support more complex use cases for our global
financial customers, this partnership ensures we align to the Kafka
and Confluent road maps, including Confluent Platform 5.0.”
“Mission-critical applications rely on Confluent Platform, based
on Apache Kafka, to power quick and accurate decision making,” said
Sid Rabindran, Director, Partner Ecosystem at Confluent. “We
welcome Datawatch into the Confluent Partner Program to open up new
use cases and give customers new ways of visualizing their
data.”
Datawatch is a Silver Sponsor of the Kafka Summit being held in
San Francisco on October 16-17, 2018. Datawatch’s Peter Simpson
will be presenting demonstrations utilizing Panopticon Streaming
Analytics combined with Confluent Enterprise to support practical
trading analytics use cases. Click here for more information about
the Kafka Summit:
https://kafka-summit.org/events/kafka-summit-san-francisco-2018/
About ConfluentConfluent, founded by the
creators of Apache Kafka®, provides the leading streaming platform
that enables enterprises to maximize the value of data. With a
streaming platform that spans to the edges of an organization and
captures data into streams of real-time events, businesses in
industries such as retail, logistics, manufacturing, financial
services, technology and media are able to respond in real time to
every customer event, transaction, user experience and market
movement whether on premises or in the cloud. Backed by Benchmark,
Index Ventures and Sequoia, Confluent is based in Palo Alto,
California. To learn more, please visit www.confluent.io. Download
Confluent Open Source at www.confluent.io/download.
Connect with ConfluentRead our blog:
www.confluent.io/blogFollow us on Twitter:
www.twitter.com/ConfluentInc
© Confluent, Inc. 2014–2018. All rights reserved. Apache, Apache
Kafka and Kafka are trademarks of the Apache Software Foundation.
All other marks used are the property of their respective
owners.
About PanopticonLeading capital markets firms
rely on Panopticon from Datawatch for faster analytics of real-time
streaming and time series data. The powerful combination of stream
processing, rapid data comprehension through visual analysis,
faster investigation through time series analysis, and playback
down to the individual tick supports organizations in making
faster, better informed decisions that have an immediate financial
impact. For more information about Panopticon and how it has been
deployed at customers in time critical areas across trading, risk,
compliance, trading operations, and asset management, please visit:
www.panopticon.com.
About Datawatch CorporationDatawatch
Corporation (NASDAQ-CM: DWCH) is the data intelligence solutions
provider that will fuel your business. Datawatch can confidently
position individuals and organizations to master all data – no
matter the origin, format or narrative – resulting in faster time
to insight. Datawatch solutions are architected to drive the use of
more data, foster more trust and incorporate more minds into
analytics and reporting projects. With over 25 years in business,
organizations of all sizes in more than 100 countries worldwide use
Datawatch products, including 93 of the Fortune 100.The company is
headquartered in Bedford, Massachusetts, with offices in Toronto,
New York, London, Stockholm, Singapore and Manila. To learn
more about Datawatch or download a free version of its enterprise
software, please visit: www.datawatch.com.
Media Contact:Frank MorenoVice
President Worldwide Marketing, Datawatch
Corporationfrank_moreno@datawatch.com 978-275-8225Twitter:
@Datawatch
© 2018 Datawatch Corporation. Datawatch and the Datawatch logo
are trademarks or registered trademarks of Datawatch Corporation in
the United States and/or other countries. All other names are
trademarks or registered trademarks of their respective
companies.
Source: Datawatch
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