StreamAnalytix Releases 2.0 with support for Apache Spark Streaming

We feel proud to unharness StreamAnalytix 2.0 - the industry's only multi-engine RTSA platform!

With a established product supported Apache Storm, StreamAnalytix has taken an enormous success with the discharge of the merchandise version 2.0 that additionally supports Apache Spark Streaming.

Why Multi-Engine?

Real-time analytics use-cases, today, area unit best optimized by utilizing completely different stream process paradigms. Some use-cases need low latency, homeless process of time-series data in motion or on the wing in an exceedingly distributed fashion, with a reliable and/or lasting data source (like Apache Kafka), that Apache Storm may address well. In alternative use-cases where a stateful, reliable, small batched, complicated process is concerned, Apache Spark Streaming is that the best match.

Clearly, real time analytics isn't a real one-size-fits-all approach which will result best in performance, tractability and time-to-market. What works for one, might not work best for another!

StreamAnalytix 2.0 simplifies the trade-off by desegregation multiple engines in an exceedingly single platform. you'll currently run your applications on a stream process engine of alternative and not compulsion, looking on the use-case necessities, and without concern about the underlying technology. Thus, we offer a replacement level of "best-of-breed" flexibility in your enterprise real-time architecture.

We've one thing to supply for everybody during this release:

As a Developer, you get a wide variety of built-in sources and sinks including TIBCO, ActiveMQ, IBM MQ, Amazon Kinesis and S3, and can extend the list with reusable custom operators. With features such as Sub-system Integration, you can easily interconnect multiple sub-systems which individually use different streaming engines, and Pipeline Versioning feature allows you to version a subsystem and rollback to a previous version any-time.

Data Scientists will increase their potency by using drag-and-drop operators for Predictive Analytics, MLLib, SparkSQL, Spark Data Transformation and a rich library of data processing functions. They will produce models within the UI, check the model output visually, and refine it by mixing streaming data with static - terribly simply, with none cryptography.

For IT Admin, we've made some core improvements in areas like Management, Monitoring and Configuration. Enhanced multi-tenancy controls now come with the ability to restrict resources for specific tenants and sub-systems.

Last but not the least, Business users will analyze the streaming data with all improved Real time Dashboards pre-configured with advance charts and graphs. With StreamAnalytix 2.0, we tend to in. nearer towards our goal to be a 'zero-code' platform and lead the wave of 'build applications with clicks, not code'. For more information please visit: www.streamanalytix.com

Impetus Technologies' StreamAnalytix Product Selected As Streaming Analytics Platform for Newest Version of Hortonworks DataFlow

Impetus Technologies, an enormous knowledge thought leader and software solutions company, these days declared that StreamAnalytix™ has been selected by Hortonworks® as a complementary solution to produce real time analytics streaming capabilities for the re-creation of Hortonworks DataFlow (HDF™).

HDF battery-powered by Apache NiFi is Associate in Nursing integrated platform to gather, conduct and curate real time data, moving it from any supply to any destination. StreamAnalytix is that the industry's initial ASCII text file primarily based, enterprise-grade, multi-engine platform for speedy and straightforward development of real time streaming data analytics applications.

With HDF, StreamAnalytix accelerates streaming data applications with a visual designer interface to tack together and deploy new workflows and a visual integrated development and application-monitoring atmosphere to produce abstraction over multiple streaming engines. StreamAnalytix's visual interface of analytics workflows makes it extraordinarily simple to make analytics applications quickly buil-in operators and complicated event process (CEP) solutions over Apache Storm and Apache Spark Streaming additional expeditiously with very little or no writing. Together, HDF and StreamAnalytix accelerate business price from massive knowledge by eliminating the complicated and long manual processes and coding - reducing the trouble from months to minutes.

"The combination of HDF and StreamAnalytix can produce a brand new level of return for data-in-motion," said Anand Venugopal, head of product for StreamAnalytix at Impetus Technologies. "Together, these solutions will supply Associate capability to leverage real time data across a comprehensive vary of trade use cases."

"Providing drag-and-drop capabilities for simply developing advanced real time streaming data analytics applications can permit customers to quickly understand an incredible quantity important in investing streamed data," same Jamie Engesser, vice chairman and head of rising merchandise at Hortonworks. "As a long-time Hortonworks partner and early parent of Apache Hadoop, Impetus is one in every of the pioneers in understanding the worth of ASCII text file primarily based technologies." For more information please visit: www.streamanalytix.com

Impetus Technologies to Highlight Support for Spark Streaming at Spark Summit West

Impetus Technologies, an enormous information thought leader and software solutions company, nowadays declared it'll be that includes StreamAnalytix™ 2.0 at Spark Summit West, happening June 6-8 at the Hilton San Francisco Union square hotel in San Francisco, California. Impetus Technologies, an incident sponsor, will be demonstrating the flexibility of the platform to simply and chop-chop build, deploy and monitor Apache Spark Streaming applications at booth K-F2.

StreamAnalytix 2.0 is that the industry's 1st open-source based mostly, enterprise-grade, multi-engine platform that empowers developers and data analysts to use drag-and-drop operators to quickly and simply produce real time streaming data analytics applications for any business vertical, any format and any use case. With support for Apache Spark Streaming, additionally to ApacheStorm, StreamAnalytix 2.0 is employed by leading Fortune one thousand corporations to method quick data formation for improved business outcomes. Overall, the platform has helped organizations in areas like internet of Things (IoT), sensing element data analytics, e-Commerce and web advertising, security, fraud, claim validation, credit-line management, center analytics, enterprise watching and log analytics.

Earlier this year at Spark Summit East, Impetus Technologies debuted StreamAnalytix 2.0. Riding the wave of interest in real time analytics and Apache Spark, Impetus can demonstrate the complete capabilities and connected edges of the platform to the over 2,500 engineers, analysts, scientists, and business professionals which will be attending at Spark Summit West. For more information please visti: www.streamanalytix.com