WSO2 Complex Event Processor (WSO2 CEP) was created as a mechanism to offer a standalone real-time analytics solution and we now have this capability within WSO2 Data Analytics Server (WSO2 DAS). Try it now!
WSO2 Complex Event Processor (WSO2 CEP) helps identify the most meaningful events and patterns from multiple data sources, analyze their impacts, and act on them in real time. 100% open source, it allows you a set up a more agile connected business, responding to urgent business situations with both speed and precision.
From enabling healthcare providers develop real-time clinical decision support systems, to monitoring transactions and tracking vehicles in smart cities, WSO2 CEP is highly performant, massively scalable, and offers significant savings in both cost and time.
WSO2 CEP is available on-premise, on top of WSO2 Private PaaS or on any public cloud such as Amazon AWS. It is an integral part of the WSO2 Analytics Platform, where it provides the real time analytics pipeline.
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WSO2 CEP facilitates real time event detection, correlation and notification of alerts, combined with rich visualization tools to help build monitoring dashboards.
It utilizes a high-performance streaming processing engine which is the outcome of extensive research at WSO2. Thanks to its architecture, memory optimizations and new approaches to storing event data, WSO2 CEP is one of the fastest open source solutions available today, able to find events patterns in real-time milliseconds.
At the heart of WSO2 CEP is Siddhi. Configured using a rich, compact, easy to learn SQL-like language, WSO2 CEP is especially suited for complex queries involving time windows, as well as patterns and sequences detection. CEP queries can be changed dynamically at runtime using templates. The core streaming engine is low-latency, extremely small in size and can be deployed for edge analytics - that is, the execution of event processing flows on a device or IoT gateway. This, coupled with its ability to handle extremely large volumes of event streams, makes WSO2 CEP particularly well-suited to handle IoT scenarios.
WSO2 CEP can be deployed in standalone or distributed modes. In distributed mode, it leverages Apache Storm architecture for nearly linear scalability. Pre-built solutions such as fraud detection and geo fencing leverage the power of WSO2 CEP and provide domain specific implementations on top of the core engine.
Modern markets and banking environments present large amounts of information - sometimes so much that the human eye cannot pick out the threads from among thousands of patterns in the data.
Using our powerful real-time, batch and predictive capabilities, we’ve built open source solutions specialized for these needs.
Converts domain knowledge into generic rules, models unknown types of fraud, and presents interactive data visualizations to investigate fraudulent activities.
Uses machine learning to detect known activity patterns, identifies unknown behavior patterns, correlates geographically disparate laundering events and detects suspicious activity sequences.
Listens to market prices as well as real time changes to portfolios and computes Value at Risk in real time, using historical simulation, parametric method and Monte Carlo simulation.
Uses sophisticated monitoring for identifying complex trading patterns, detecting stock market manipulation in real time, and generating appropriate alerts.
The United Nations Conference on Trade and Development estimates the global ecommerce market to be worth $22 trillion. The world has long since evolved beyond simple shopping carts - customers, too, now expect advanced systems that not only cater to their needs, but can predict them.
At WSO2, we’ve built open source solutions that harness the power of analytics to help you delivering this level of customer experiences for a state-of-the-art shopping experience.
Considers multiple attributes based on a shopper’s buying history, current buying trends, inventory status, active promotions and others to make intelligent product recommendations.
Uses streams of incoming data to help identify targeted audiences, user preferences and to select more appropriate and personalized advertising on the fly.
Harnesses iBeacons and mobile infrastructure to process and analyse customer behavior, explore this data for business improvement and enhance customer experiences with tailored, real-time, reactive marketing methods.
Controlling fleets of transport vehicles is an imposing task, made simpler and more accurate by technology.
By analyzing data emitted from sensors attached to vehicles in a fleet, WSO2 provides a comprehensive set of features for any organization to monitor their fleet in real time, stay ahead in the maintenance schedules, detect and predict risks in order to take proactive actions to mitigate risks.
With technologies like RFID, it's now possible to have even closer control of the management of goods that's being transported - as well as the transportation media. With the right hardware and WSO2, goods can be tracked and monitored from the point of origin all the way to your consumers.
Network security and maintenance is a serious task: on average, it costs an enterprise more than half a million USD to recover from a breach.
By harnessing the power of machine learning, WSO2’s open-source solution can act as a high-performance network monitor acting in real time, detecting network intrusions and botnet attacks.
Not only does this add faster-than-human detection and responses to your network security; machine learning also goes beyond traditional algorithmic ways of detection, which may be unable to respond to new and evolving threats.
The ever-increasing influx of real-time data engineering, production, and equipment sources, the energy industry faces unique opportunities for analyzing the use of technologies, processes, and shifts in trends.
WSO2 provides an open source solution for continuous analysis and real-time monitoring to analyze demand, predict and optimize energy flow, monitor production facilities and assets, and various other activities, visualizing real-time data using built in dashboards.
A comprehensive set of features cater to a wide variety of analytics demands, including those of Smart Grids, Smart Homes and Oil and Gas Industries.
Social media is one of the most powerful communication tools available today, but any worthwhile analysis requires processing large data sets of thousands and perhaps millions of tweets, status updates and the like.
WSO2 CEP provides some powerful tools for social media analysis, from keyword and topic analysis to visually graphing community interactions, sentiment and bias on social media. It also allows you to perform location-based analysis.
WSO2 allows you to sift through terabytes of social media data in both stored and real-time scenarios, allowing you to identify customers, interact and drive your product with exceptional clarity.
In production, a system must not just be well-designed; it must be constantly monitored, and issues that tend to affect the operation of the system must be identified and responded to.
WSO2 CEP is capable of monitoring incoming data streams to identify instances of low throughput, event drops, errors, latency issues, jitter and out-of-order delivery, and enables both visualization of these events and rapid responses to them.
Given the right data, CEP is capable of dynamically prioritizing requests, rate limiting and throttling, blacklisting, detecting anomalies and eliminating outliers in real time. It’s a powerful way of ensuring automated that your systems maintain quality of service no matter what.
Pacific Controls is an innovative company delivering an IoT platform of platforms: Galaxy 2021. The platform allows to manage all kinds of devices within a building and take automated decisions such as moving an elevator or starting the air conditioning based on certain conditions. Within Galaxy2021, WSO2 CEP is used for monitoring alarms and specific conditions.
The Cleveland Clinic, ranked among the top 3 hospitals in the US, uses a Clinical Intelligence Platform that combines big data storage, stream and batch processing to provide decision support to clinicians. Real-time analytics for the platform is provided by WSO2 CEP along with custom extensions to handle healthcare data.
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