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…
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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…
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| 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 time and at scale. |
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | Unites States, United Kingdom, Australia, Germany |
| Supported Languages | English, French, German, Italian, Japanese, Korean, Portugese/Brazil, Spanish, Chinese simplified, Chinese traditional |
Integration Capabilities: Users have praised the platform's seamless integration with Apache applications, resulting in a cohesive and efficient user experience. They appreciate the open-source nature and exceptional client support that further elevate their overall satisfaction.
Handling Massive Traffic: User feedback consistently highlights the platform's remarkable ability to handle substantial traffic volumes daily, underscoring its reliability and high performance under demanding conditions. This feature significantly enhances users' trust in the platform.
Valuable Features for Analytics: Users find the platform invaluable for analytics tasks, reporting functions, and streamlining onboarding processes. By meeting these needs effectively, it enhances service quality and fulfills user expectations thoroughly.
Limited Descriptions and User-Friendliness: Users have criticized the product for lacking detailed descriptions, options, and user-friendliness, especially when working with downstream processes. This deficiency has led to challenges in understanding the full capabilities of the product and adapting it to specific needs.
Complexity and Need for Training: Reviewers have highlighted the complexity of the product, noting that even users experienced with similar software platforms may require additional training or courses from IBM to fully utilize its features effectively. The steep learning curve has hindered seamless adoption and utilization by users.
Monitoring Challenges: Some users expressed dissatisfaction with monitoring functionalities, citing issues such as insufficient visibility into traffic patterns and events, complexities in monitoring broker status and traffic flow, as well as experiencing downtime when attempting to scale topic partitions. These monitoring limitations have impacted operational efficiency and real-time decision-making within their workflows.
