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What is IBM Event Automation?

IBM Event Automation is a highly adaptable, event-driven platform designed to help users discover opportunities, take prompt actions, automate their decision-making, and boost their revenue potential. Leveraging the capabilities of Apache Flink, it enables organizations to respond rapidly in real-time, using artificial intelligence to predict key business trends. This innovative solution supports the development of scalable applications that can easily adjust to evolving business needs and handle increasing workloads without difficulty. Additionally, it features self-service functionalities along with approval workflows, field redaction, and schema filtering, all managed through a Kafka-native event gateway under a policy administration framework. By implementing policy administration for self-service access, IBM Event Automation accelerates event management and simplifies the establishment of controls for approval workflows and data privacy measures. The diverse applications of this technology encompass transaction data analysis, inventory optimization, detection of fraudulent activities, enhancement of customer insights, and facilitation of predictive maintenance. Through this holistic strategy, businesses are equipped to navigate intricate environments with both agility and accuracy, ensuring they remain competitive in the market. Furthermore, the platform's ability to integrate with existing systems makes it a valuable asset for organizations aiming to improve operational efficiency and drive innovation.

What is Apache Kafka?

Apache Kafka® is a powerful, open-source solution tailored for distributed streaming applications. It supports the expansion of production clusters to include up to a thousand brokers, enabling the management of trillions of messages each day and overseeing petabytes of data spread over hundreds of thousands of partitions. The architecture offers the capability to effortlessly scale storage and processing resources according to demand. Clusters can be extended across multiple availability zones or interconnected across various geographical locations, ensuring resilience and flexibility. Users can manipulate streams of events through diverse operations such as joins, aggregations, filters, and transformations, all while benefiting from event-time and exactly-once processing assurances. Kafka also includes a Connect interface that facilitates seamless integration with a wide array of event sources and sinks, including but not limited to Postgres, JMS, Elasticsearch, and AWS S3. Furthermore, it allows for the reading, writing, and processing of event streams using numerous programming languages, catering to a broad spectrum of development requirements. This adaptability, combined with its scalability, solidifies Kafka's position as a premier choice for organizations aiming to leverage real-time data streams efficiently. With its extensive ecosystem and community support, Kafka continues to evolve, addressing the needs of modern data-driven enterprises.

Media

Media

Integrations Supported

Arroyo
Benerator
Circonus IRONdb
DoubleCloud
Eclipse Streamsheets
Equalum
Hitachi Unified Compute RS Series
HiveMQ
Instaclustr
IronCore Labs
Latitude
Mozart Data
Pandora FMS
Red Hat AMQ
Specmatic
Splunk Enterprise Security
The GlobalSolutions
Theom
WarpStream

Integrations Supported

Arroyo
Benerator
Circonus IRONdb
DoubleCloud
Eclipse Streamsheets
Equalum
Hitachi Unified Compute RS Series
HiveMQ
Instaclustr
IronCore Labs
Latitude
Mozart Data
Pandora FMS
Red Hat AMQ
Specmatic
Splunk Enterprise Security
The GlobalSolutions
Theom
WarpStream

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/event-automation

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kafka.apache.org

Categories and Features

Categories and Features

iPaaS

AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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