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What is Esper Enterprise Edition?

Esper Enterprise Edition presents a powerful platform that is engineered for both linear and elastic scalability, along with dependable event processing that is resilient to faults. The platform features an EPL editor and debugger, supports hot deployment, and offers extensive reporting on metrics and memory usage, including in-depth analyses per EPL. Moreover, it includes Data Push capabilities for smooth multi-tier delivery from CEP to browsers, effectively managing both logical and physical subscribers along with their subscriptions. The user-friendly web interface enables users to monitor numerous distributed engine instances utilizing JavaScript and HTML5 while facilitating the design of composable and interactive visualizations for distributed event streams through charts, gauges, timelines, and grids. In addition, it boasts JDBC-compliant client and server endpoints to guarantee seamless interoperability across various systems. Esper Enterprise Edition stands out as a proprietary commercial product crafted by EsperTech, with source code access provided exclusively for customer support. This impressive array of features and its adaptability render it an exceptional option for enterprises in search of effective event processing solutions. As businesses evolve and their needs become more complex, having a solution like Esper can significantly enhance their operational efficiency.

What is Apache Storm?

Apache Storm is a robust open-source framework designed for distributed real-time computations, enabling the reliable handling of endless streams of data, much like how Hadoop transformed the landscape of batch processing. This platform boasts a user-friendly interface, supports multiple programming languages, and offers an enjoyable user experience. Its wide-ranging applications encompass real-time analytics, ongoing computations, online machine learning, distributed remote procedure calls, and the processes of extraction, transformation, and loading (ETL). Notably, performance tests indicate that Apache Storm can achieve processing speeds exceeding one million tuples per second per node, highlighting its remarkable efficiency. Furthermore, the system is built to be both scalable and fault-tolerant, guaranteeing uninterrupted data processing while remaining easy to install and manage. Apache Storm also integrates smoothly with existing queuing systems and various database technologies, enhancing its versatility. Within a typical setup, data streams are managed and processed through a topology capable of complex operations, which facilitates the flexible repartitioning of data at different computation stages. For further insights, a detailed tutorial is accessible online, making it an invaluable resource for users. Consequently, Apache Storm stands out as an exceptional option for organizations eager to harness the power of real-time data processing capabilities effectively.

Media

Media

Integrations Supported

Integrations Supported

Akira AI
Amazon Kinesis
Apache Kafka
Apache Knox
Apache Ranger
Azure HDInsight
RabbitMQ
Sematext Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

EsperTech Inc.

Company Location

United States

Company Website

www.espertech.com/esper-enterprise-edition/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

storm.apache.org

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting

Categories and Features

Big Data

Not specified

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