Complex Event Processing Software

Complex Event Processing Software Overview

Complex Event Processing (CEP) software tracks, processes, and analyzes raw data about things that happen (events), then draws possible cause-and-effect conclusions based on the relationship or timing between events. These techniques capture and analyze multiple streams of data to detect trends, events, patterns, opportunities, and threats as they happen, allowing for a quick and efficient response.

For example, a self-driving car may use CEP to determine that an object with a combination of red and white coloring, a hexagonal shape, and placement at intersections would be a stop sign, which then informs the driving systems to control deceleration and certain distance of the object. The CEP software would use this collection of data to help the AI distinguish a stop sign from a yield sign, which has a triangular shape, so it can make the best decision.

CEP software manages and analyzes a large volume of events happening at once. It is useful for stock market trading, health care, predictive maintenance, real-time marketing, AI management, predictive sales analysis, and fraud detection. This is because the essence of CEP is the ability to track, analyze, and store multiple data events to determine opportunities (e.g. developing marketing profile, future stock prices) or threats (e.g. security breaches, operating system issues). Data scientists who detect fraud or manage operational intelligence within these industries would find CEP software useful.

CEP overlaps with real-time interaction management software, operational analytics software, and streaming analytics software in that they all manage, analyze, and store information from data streams. Compared to these, CEP software boasts more robust analytic tools because of its ability to draw conclusions from multiple sources of information, allowing for quicker and more thorough reporting.

Complex Event Processing Products

(1-21 of 21) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.

TIBCO Streaming (StreamBase)

The TIBCO Streaming (StreamBase®) platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. Using TIBCO Streaming, users can rapidly build real-time systems and deploy them at a fraction of the cost and risk of other…

TIBCO BusinessEvents

TIBCO BusinessEvents® allows organizations to quickly build event-driven rules systems that intelligently process streams of events at the speed they are generated - supporting realtime decision making, automation, and proactive responses.

Red Hat Decision Manager (formerly JBoss BRMS)

Red Hat Decision Manager (formerly JBoss BRMS) is a business rules management and CEP option.

IBM Event Streams

IBM Event Streams is a high-throughput, fault-tolerant, event streaming solution. Powered by Apache Kafka, it provides access to enterprise data through event streams, enabling businesses to unlock insights from historical data, and identify and take action on situations in real…

Aerospike

The Aerospike Real-time Data Platform aims to enable organizations to act instantly across billions of transactions while reducing server footprint up to 80%. The vendor states Aerospike multi-cloud platform powers real-time applications with predictable sub-millisecond performance…

InRule

InRule Technology in Chicago, Illinois offers business rules management software.

WSO2 Enterprise Integrator

WSO2 Enterprise Integrator (WSO2 EI) is an open-source hybrid integration platform providing graphical and CLI tooling, integration runtimes, and monitoring with a variety of deployment options. The integration runtime engine is capable of playing multiple roles in an enterprise…

Esper Enterprise Edition

Esper Enterprise Edition is an enterprise ready, complex event and streaming analytics processing platform.

Evam Continuous Intelligence Platform

EVAM is a real-time Continuous Intelligence Platform for customer journey orchestration having real-time data integration and streaming advanced analytics with ML/AI.Evam Continuous Intelligence Platform is deployed in different industries including Telco, Banking, Retail & Loyalty,…

Lenses.io

Lenses.io delivers a developer workspace for building & operating real-time applications on any Apache Kafka. By enabling teams to monitor, investigate, secure and deploy on their data platform, organizations can shift their focus to data-driven business outcomes and help engineers…

Apache Pulsar

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now an Apache Software Foundation project. It is free and open source, available under the Apache License, version 2.0.

DataStax Luna Streaming (Kesque)

Luna Streaming, from DataStax headquartered in Santa Clara and now featuring technology and support from Kesque following the company's acquisition by DataStax in 2020, is a production-ready distribution of Apache Pulsar including 24/7 expert enterprise support.

Astra Streaming

Astra Streaming from DataStax, presently in beta, is multi-cloud Streaming-as-a-Service, built on Apache Pulsar. It is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows users to build streaming applications on top of an elastically…

Microsoft SQL Server StreamInsight

Microsoft SQL Server StreamInsight is the company's complex event processing (CEP) platform to help businesses create event-driven applications and derive better insights by correlating event streams from multiple sources, boasting near-zero latency. It can be freely downloaded.

Esper (open source)

Esper is an open source complex event processing (CEP) platform supported by EsperTech in New Jersey.

Apama Community Edition

Apama Streaming Analytics is a platform for streaming analytics and intelligent automated action on fast-moving big data. Combining event processing, messaging, in-memory data management and visualization, this platform is presented as a complete solution to turn relentless data…

AWS Data Pipeline

AWS Data Pipeline is a web service used to process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, users can regularly access data where it’s stored, transform and process it at…

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

Amazon MSK is a managed service enabling users to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, use native Apache Kafka APIs to…

Learn More About Complex Event Processing Software

What is Complex Event Processing Software?

Complex Event Processing (CEP) software tracks, processes, and analyzes raw data about things that happen (events), then draws possible cause-and-effect conclusions based on the relationship or timing between events. These techniques capture and analyze multiple streams of data to detect trends, events, patterns, opportunities, and threats as they happen, allowing for a quick and efficient response.

For example, a self-driving car may use CEP to determine that an object with a combination of red and white coloring, a hexagonal shape, and placement at intersections would be a stop sign, which then informs the driving systems to control deceleration and certain distance of the object. The CEP software would use this collection of data to help the AI distinguish a stop sign from a yield sign, which has a triangular shape, so it can make the best decision.

CEP software manages and analyzes a large volume of events happening at once. It is useful for stock market trading, health care, predictive maintenance, real-time marketing, AI management, predictive sales analysis, and fraud detection. This is because the essence of CEP is the ability to track, analyze, and store multiple data events to determine opportunities (e.g. developing marketing profile, future stock prices) or threats (e.g. security breaches, operating system issues). Data scientists who detect fraud or manage operational intelligence within these industries would find CEP software useful.

CEP overlaps with real-time interaction management software, operational analytics software, and streaming analytics software in that they all manage, analyze, and store information from data streams. Compared to these, CEP software boasts more robust analytic tools because of its ability to draw conclusions from multiple sources of information, allowing for quicker and more thorough reporting.

Complex Event Processing Software Features

These are the most common features across CEP software products:

  • Activity monitoring
  • End-to-end automation
  • Event-pattern detection
  • Single event processing
  • Event abstraction
  • Event filtering
  • Event aggregation
  • Event transformation
  • Event hierarchy models
  • Event prediction
  • Detecting causal, membership, and timing relationships between events
  • Abstracting event-driven processes
  • Data analysis and reporting
  • Data synthesis
  • Data storage
  • Opportunity and threat detecting, analysis, and reporting

Complex Event Processing Software Comparison

When choosing the best event management software for you, consider these factors:

Processing engine power: The number of data streams and the amount of data therein can take a toll on the processing power needed to run CEP software efficiently. If you anticipate working with a high number of data streams, the larger platforms like Amazon Kinesis and Google Cloud Dataflow use serverless architecture to help ensure smooth, effective, and uninterrupted processing.

Programming language support: One of the most important considerations in selecting CEP software is the programming language(s) they support so they can work with other software or integrations you may be using. For example, Apache Flink only supports Scala and Java, but Apache Spark supports Java, Scala, Python, and SQL.

Low latency support: Some CEP software struggles with low latency, meaning that data stream analysis and event prediction error risk increases if it is dependent on time-sensitive data. Apache Kafka, Apache Flink, and Google Cloud Dataflow are explicit in their support for very low latency.

Open-source or managed software: A large number of CEP software, such as WSO2 Analytics Platform and the Apache collection, are open-source, meaning that they are low-cost or free, and may accommodate more niche concerns such as message delivery semantics. However, this means that the user will most likely need to install, integrate, update, and troubleshoot the software manually, which will require more support from your IT staff. Some CEP vendors, such as Amazon Kinesis, Google Cloud Dataflow, and IBM Streams, manage the software for you. However, their functionality may be limited if you need more specific techniques, their cost can increase substantially if you are working with a large amount of data, and you will not be able to control server uptime.

Pricing Information

CEP software has many free open-source solutions. For enterprises looking for a managed or serverless CEP solution, products can range from $200 to $1900 per month at their lowest cost, with additional costs stemming from the number of data streams processed per hour or per unit. Most paid products offer free trials and custom pricing plans.

More Resources

The following articles may help you will make the best CEP decisions for your business:

Related Categories

Frequently Asked Questions

What does Complex Event Processing (CEP) software do?

Complex Event Processing (CEP) software collects, analyzes, and stores multiple data streams to create predictive data models. Model predictions are based on causal and timing relationships between multiple events to allow for quickly detecting opportunities and threats.

What are the benefits of using Complex Event Processing (CEP) software?

CEP software provides the ability to handle multiple data streams at once, which allow for robust and through data abstracting, analysis, reporting, and modeling. CEP software also has automated end-to-end opportunity and threat detection, as well as a wide range of open-source and monitored software to meet the costs and scope of your business.

How much does Complex Event Processing (CEP) software cost?

Open-source CEP software has many free and low-cost options. Monitored and serverless CEP solutions range from $200 to $1900 per month, with additional processing costs. Most have free trials and demos.