Dubai, United Arab Emirates, May 01 2016 – Software AG (Frankfurt TecDAX: SOW) today announced the company was cited as a leader in a recent independent report — “The Forrester Wave™: Big Data Streaming Analytics, Q1 2016”— for its Apama Big Data Streaming Analytics Platform. The ranking was based on criteria in current offering, strategy and market presence.
The report, principally authored by Mike Gualtieri and Rowan Curran, noted that Software AG “…offers a comprehensive set of capabilities for companies that wish to undergo a fast digital transformation.”
The Forrester report also cited several features in its write-up on Software AG:
- Streaming Analytics – The Apama Big Data Streaming Analytics platform “delivers the scalability, management, operators, and application development tools that world-class enterprises need to make the right decision in the right moment.”
- HyperTree – “The patented HyperTree maintains the state needed for ultra-low-latency event pattern detection, and the vendor provides some of the most robust capabilities in this evaluation.”
- Integration – “Long-running pattern detection is also well supported via integration with Software AG’s own in-memory data grid, Terracotta, and its integration platform webMethods.”
Dr. Wolfram Jost, Chief Technology Officer, Software AG, said: “We believe this report echoes the feedback we receive from our customers acknowledging the tremendous competitive value and contextual insights they gain when using the Apama Big Data Streaming Analytics platform for Internet of Things, Mobile, Web and enterprise applications. It has been deployed in numerous organizations worldwide and supports a wide range of use cases, such as real-time operational visualization, dynamic product pricing, fraud detection and prevention, IoT data analysis, customer promotion triggering, location-based asset optimization, preventative maintenance, continuous risk and compliance monitoring, and faster response to opportunities and threats.”
Streaming Analytics is fundamental to enterprises deriving maximum knowledge, value, contextual insights, and competitive advantage from the rapidly growing Internet of Things (IoT). Continuous analytics on streaming data can be performed to identify business patterns, which have happened or are about to happen. Visualizations and visual analytics for business users support both human-oriented and automated intelligent actions.
The report is available at this link.