Esper (open source)

Esper, an open-source software solution developed by EsperTech Inc., specializes in Complex Event Processing (CEP), Streaming SQL, and Event Series Analysis. It is designed to cater to small to large enterprises and finds applications in various professions and industries, including Financial Services, Telecommunications, Retail, Manufacturing, and the Internet of Things (IoT).

Key Features

Complex Event Processing (CEP): According to the vendor, Esper enables real-time processing of high-volume event streams, allowing for the detection of complex patterns and relationships in events. It supports event correlation and aggregation while efficiently handling event time and event ordering.

Streaming SQL: The vendor states that Esper allows users to write SQL-like queries for event processing, including support for filtering, grouping, and joining event streams. It offers windowing and time-based operations for temporal analysis and seamless integration with external data sources.

Event Series Analysis: Esper facilitates the analysis of event sequences and patterns over time. According to the vendor, it enables the calculation of statistical metrics and aggregates on event series, supports sliding windows and time-based analysis, and excels at detecting trends, anomalies, and patterns in event series.

Event-driven Architecture: Esper empowers users to build event-driven applications and systems. According to the vendor, it seamlessly integrates with various data sources and event producers, supporting event-driven workflows and business processes. Additionally, it enables event-driven communication and messaging patterns.

Scalability and Performance: Esper is built with a high-performance event processing engine, ensuring efficient handling of large event volumes. The vendor claims that its scalable architecture supports distributed and parallel processing, while optimization techniques enhance the overall efficiency of event processing.

Event Visualization and Monitoring: According to the vendor, Esper provides real-time monitoring and visualization of event streams. It offers customizable dashboards and visualizations for events, alerts and notifications for event patterns and anomalies, and the ability to perform historical analysis and replay of event data.

Integration and Extensibility: Esper supports various data formats and protocols such as JSON, XML, and Avro, according to the vendor. It seamlessly integrates with external systems and databases, offering an extensible architecture for custom functions and operators. Moreover, it provides integration with popular programming languages like Java and .NET.

Event-driven Machine Learning: According to the vendor, Esper integrates with machine learning libraries and frameworks, enabling users to train and deploy machine learning models on event data. It facilitates real-time prediction and anomaly detection using machine learning models, while continuously learning and adapting based on event streams.