Impetus Technologies Announces Cloud-Based Trial of its Analytics Platform

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Impetus_Technologies_LogoImpetus Technologies, a big data software products and services company, today announced the company is offering a cloud-based trial version of its StreamAnalytix platform. Since its introduction, the platform has become widely recognized as the industry’s first open-source based, enterprise-grade, multi-engine platform for rapid and easy development of real-time streaming analytics applications.

By announcing a cloud-based StreamAnalytix trial offering, we are looking to fuel the growth of the streaming analytics community by providing a way for developers, data scientists and data engineers to build analytical applications in just a few clicks and get them up and running in minutes,” said Anand Venugopal, head of product for StreamAnalytix.

The StreamAnalytix cloud trial is an Apache Spark-enabled version of StreamAnalytix that allows anyone to get started fast on Spark Streaming. All users need to do is click a URL to get started, with no hardware or setup required. It provides a powerful medium to quickly evaluate StreamAnalytix for enterprise needs or a proof of concept, or to build analytical applications for learning and research.

To start a free trial, visit HERE. The trial version is available for a two-week period, with extensions upon request, and comes fully loaded with features such as a built-in Scala processor, an out-of-the-box data generator, advanced data transformation and analytical operators, and built-in data visualization. Email and online resources are also available to provide full support and quick help on how to build production-ready data pipelines in minutes.

StreamAnalytix is used by leading Fortune 1000 companies that are taking advantage of streaming data for improved business outcomes and has helped organizations in areas such as Internet of Things (IoT), sensor data analytics, e-Commerce and Internet advertising, security, fraud, insurance claim validation, credit-line management, call center analytics, business activity monitoring, and log analytics.


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