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Apama Streaming Analytics

Monitor and respond in real-time.

Software AG’s Apama Streaming Analytics is a market-leading platform for streaming analytics and intelligent automated action on fast-moving big data.

Apama Streaming Analytics

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Imagine how responsive your enterprise could be if you could glean real-time insights from all that big fast data—data streaming in from mobile devices, the Internet of Things (IoT), internal transactional systems and a myriad of other sources. Software AG’s Apama Streaming Analytics—supporting predictive analytics—is the world’s #1 platform for streaming analytics and intelligent automated action on fast-moving big data. 

With Apama EagleEye, organizations can monitor live streaming data, historical information, and communications to detect compliance rule breaches and abusive patterns across asset classes, geographies, and markets. Apama EagleEye seamlessly extends rules-based surveillance strategies by integrating with artificial intelligence (AI), machine learning, predictive analytics, and statistical models based on open industry standards.

What You Can Do with this Real-time Streaming Analytics Platform

Design & Visualize Real-Time Analytics

  • Design continuous real-time analytics scenarios using IT and business-analyst interfaces
  • Create end-user business dashboards for monitoring
  • Test on previously captured streams of data before deployment
  • Visualize key performance indicators; drill down into results

Connect to Streaming & Static Data

  • Connect to sources and destinations of streaming event data with low latency, high throughput
  • Cache static data for fast, in-memory access and event enrichment
  • Integrate with different event streams and app environments via a robust integration frameworks and hundreds of adapters

Analyze Patterns and Take Action in Real-Time

  • Aggregate data, do temporal analysis, filter and correlate
  • Trigger low-latency actions automatically without human input
  • Extract the maximum value from big data in motion or high-velocity event data
  • Create repeatable, self-learning processes that adjust dynamically over time

Key Benefits

Predict what is likely to happen next

Identify and act on future risks and opportunities using predictive analytics. Leverage historical and real-time data to forecast what’s ahead. Drive higher-quality business results, by improving speed, content quality and accuracy of decisions.

Increase operational visibility

Gain a continual view of your processes. Monitor SLAs continually and predict when they may be breached. Correlate events from many sources, breaking down organizational silos. All in all, your organization can filter, aggregate, analyze and present on a continual, real-time basis.

Make instant decisions at scale

Respond immediately even as data volumes surge to millions of interactions, identify and prevent fraud, stay in continual compliance with risk controls and regulations, and analyze and act on Internet of Things (IoT) sensor streams. 

Empower business and IT

IT users can increase their efficiency by using the leading solution in its space rather than low-level coding.  The platform’s support of extreme scale and performance on commodity hardware enables more use cases with a lower TCO. Apama’s open platform and development tooling enables rapid evolution of applications. With Apama, you can avoid building application and infrastructure services from scratch—and focus on building the unique solutions that warfighters need.

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The Apama Streaming Analytics Platform is built on an in-memory architecture that enables real-time processing of extremely fast, large data volumes—orders of magnitude larger than traditional database-based IT architectures. The platform captures data from any device with low latency. It then performs analytics on this streaming data, also referencing historic information where necessary, to identify business patterns that have happened or are about to happen.

The platform’s visualizations and visual analytics for business users support both human-oriented and automated intelligent actions.

Capabilities include:

  • Rich analytics – filtering, correlation, aggregation and pattern detection with time and location constraints
  • Predictive analytics support – accelerating the deployment of predictive analytics models
  • Enrichment of streaming data with context data for deeper, richer analytics
  • Business analyst tooling
  • Rich real-time visualization and visual analytic tools
  • High-performance messaging for mobile, the Web and the Internet of Things (IoT)
  • Support of extreme scale and performance
  • In-memory architecture
  • Operationalization of predictive models
  • Support for MQTT and AMQP standards and protocols for easier integration with the IoT
  • Deployment on local, server or cloud platforms
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Business Needs

Leading organizations leverage real-time insights to continuously identify and act on insightful analysis to ensure mission success. Use cases include:

Cyber defense

Detect both external as well as internal threats by identifying suspicious behaviors through real-time analytics of network traffic, access logs or other pertinent data sources. Combine real-time with historical data to develop deeper insights into normal and aberrant usage patterns. View Cyber Security

Internet of Things

Separate the signal from the noise. Harness the vast streams of sensor data to provide new value for your organization. Visualize data in motion.


Empower your analysts to find the “needles in the haystack” that they are tasked to search for. Make their jobs easier by providing the tools to easily ignore the irrelevant and focus on the most important pieces of intelligence.

Logistics visibility

Know where your assets are now and where they are headed in the future at all times across the globe. Optimize flows by developing a holistic understanding of the entire logistical system and route resources in a smarter fashion.

Fraud detection

Detect fraud across multiple channels and millions of transactions a day. Identify new “unusual behaviors” through real-time analytics of transactional data, customer behavior and other historical data.

Real-time situational awareness

Visualize and correlate high-volume and relevant events, such as moving location data, suspicious transactions, cellular network activity or sensor data in real-time. Achieve a real-time, holistic view of an entity

Supply chain visibility

Know where, how and why across the supply chain. Target KPIs and gain actionable information to perform root-cause analyses throughout the supply chain.

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