“Impetus has the opportunity to make StreamAnalytix the de facto tooling standard for Spark and future streaming engines”- States the report.
Forrester has positioned StreamAnalytix as a strong performer among 13 most significant streaming analytics providers in The Forrester Wave™: Streaming Analytics, Q3 2017; one of the few, and perhaps the most comprehensively evaluated market insight reports focussed on streaming analytics today.
StreamAnalytix is a platform that makes creating real-time stream processing and machine learning applications on Apache Spark extremely easy. It is aimed at enterprises looking for a single visual platform that leverages popular open source, big data platforms for streaming ETL and advanced analytics, which is easy to use for both business and technical users.
What also shines about StreamAnalytix solution is that it includes enterprise-grade visual tooling for both development and deployment of streaming applications.
–An excerpt from The Forrester Wave™: Streaming Analytics, Q3 2017
Forrester’s evaluation of StreamAnalytix resonates with our key focus areas; the report’s vendor profile section highlights the following aspects of StreamAnalytix:
- StreamAnalytix offers use of both Apache Storm and Apache Spark and is architecturally positioned to support future use of other open-source streaming engines such as Apache Flink
- StreamAnalytix embeds EsperTech to provide advanced streaming analytics capabilities such as complex event processing
- StreamAnalytix tooling also unifies streaming and batch by supporting arbitrary Spark jobs such as machine learning
For more information on StreamAnalytix coverage in the Forrester Wave, read the full press release.
What does StreamAnalytix bring in as a streaming analytics solution?
StreamAnalytix enables enterprises to analyse and respond to events in real-time at big data scale. It is currently the industry’s only product that provides the powerful advantage of a Visual Developer Studio with end-end ‘Data 360’ support and a run-time DevOps platform with multi-engine support.
It enables the real- time enterprise with use cases such as; real-time customer 360, call centre analytics, churn prediction, insider threat detection, IoT/sensor data analytics, anomaly detection, and more.
StreamAnalytix now also offers Visual Spark Studio, a free standalone version which brings all capabilities required for development and life-cycle management of Apache Spark applications in both streaming and batch mode, to your desktop.
Meetup – Stream Processing with Apache Kafka, Flink and Spark
November 2, 2019 - November 2, 2019 Hotstar office (Bangalore)
Anomaly Detection with Machine Learning at Scale (India)
Sep 27, 2019 | 11:30 am IST