.
Ronnie Beggs, a Senior Analyst at Bloor Research, noted: “The ‘raison d’être’ for streaming analytics is to extract actionable, context-aware insights from streaming data, and to help businesses respond to these insights appropriately and in real-time. Software AG’s Apama Streaming Analytics Platform is, in our view, a ‘Champion’ in the streaming analytics market as it offers a new level of performance for enterprises that was not previously available through other traditional data management methods.”
According to the report, “The Internet of Things (IoT) is driving wider industry adoption and propelling streaming analytics into the mainstream.”
Software AG’s Apama Streaming Analytics Platform gives businesses the ability to respond appropriately and accurately to insights in real time, which are delivered from sensors, mobile devices, financial exchanges, social media and and many other networked sources.
Apama is the key real-time analytics component in Software AG’s Digital Business Platform, which supports companies as they undergo a digital transformation. Its ability to deliver real-time business transformation to enterprise customers and provide real-time monitoring of the Internet of Things, as well as its integrated portfolio of products for managing streaming data and real-time business processes, puts it at the top of Bloor’s list.
Dr. Giles Nelson, senior vice president of Product Strategy and Marketing, Software AG, remarked: “We are excited and honored to be listed as the top streaming analytics vendor in the market. Streaming analytics is fundamental to enterprises aiming to derive maximum knowledge, value, contextual insights, and competitive advantage from the rapidly growing Internet of Things (IoT).”
The Apama Streaming Analytics Platform has been deployed in numerous organizations worldwide and supports a wide range of use cases, such as preventative maintenance as well as real-time operational visualization, dynamic product pricing, fraud detection and prevention, IoT data analysis, customer promotion triggering, location-based asset optimization, continuous risk and compliance monitoring, and faster response to opportunities and threats.
- Apama Ranked “Champion” in Vendor Landscape with Highest Scores
- IoT Drives Broad Adoption of Streaming Analytics
Ronnie Beggs, a Senior Analyst at Bloor Research, noted: “The ‘raison d’être’ for streaming analytics is to extract actionable, context-aware insights from streaming data, and to help businesses respond to these insights appropriately and in real-time. Software AG’s Apama Streaming Analytics Platform is, in our view, a ‘Champion’ in the streaming analytics market as it offers a new level of performance for enterprises that was not previously available through other traditional data management methods.”
According to the report, “The Internet of Things (IoT) is driving wider industry adoption and propelling streaming analytics into the mainstream.”
Software AG’s Apama Streaming Analytics Platform gives businesses the ability to respond appropriately and accurately to insights in real time, which are delivered from sensors, mobile devices, financial exchanges, social media and and many other networked sources.
Apama is the key real-time analytics component in Software AG’s Digital Business Platform, which supports companies as they undergo a digital transformation. Its ability to deliver real-time business transformation to enterprise customers and provide real-time monitoring of the Internet of Things, as well as its integrated portfolio of products for managing streaming data and real-time business processes, puts it at the top of Bloor’s list.
Dr. Giles Nelson, senior vice president of Product Strategy and Marketing, Software AG, remarked: “We are excited and honored to be listed as the top streaming analytics vendor in the market. Streaming analytics is fundamental to enterprises aiming to derive maximum knowledge, value, contextual insights, and competitive advantage from the rapidly growing Internet of Things (IoT).”
The Apama Streaming Analytics Platform has been deployed in numerous organizations worldwide and supports a wide range of use cases, such as preventative maintenance as well as real-time operational visualization, dynamic product pricing, fraud detection and prevention, IoT data analysis, customer promotion triggering, location-based asset optimization, continuous risk and compliance monitoring, and faster response to opportunities and threats.
