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What is 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…
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What is 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 time and at scale. |
IBM Event Streams Video
Getting Started with IBM Event Streams: Six Minute Demo & Tutorial
IBM Event Streams Integrations
IBM Event Streams Competitors
IBM Event Streams Technical Details
| 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 |
Frequently Asked Questions
Confluent, Amazon Kinesis, and Amazon Managed Streaming for Apache Kafka (Amazon MSK) are common alternatives for IBM Event Streams.
Reviewers rate Ease of integration highest, with a score of 7.8.
The most common users of IBM Event Streams are from Enterprises (1,001+ employees).
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(58)Attribute Ratings
Reviews
(1-7 of 7)Companies can't remove reviews or game the system. Here's why
October 12, 2023
Event based message using kafka
Our primary implementations covered two user cases: 1. Analytics implementation to keep eye on the traffic flow & logs coming from users to help identify the problems in shorter time and make decisions for improvements. 2. Use of event transmission between different types of technologies and stacks that are usually not easily embeddable with each other.
- based on Kafka and open source so you can tailor it to your need
- better integration with Apache applications
- best for analyzing events and logs
- documentation and knowledge base
- insights for users by giving examples how it can be used
- improved marketing and product visibility will help for convincing more clients. A lot of them never heard of it and are hesitant to adopt.
October 07, 2023
Review IBM Event Streams
My organization is based on ethics and integrity, with management guided by our values and a rigorous system of corporate governance in how we conduct business and manage risk.IBM Event Streams help our organization using Apache ecosystem products and being an open source we can customize the platform as per the need of the customer and as and when the requirement changes. payment processing, fraud detection, anomaly detection, predictive maintenance, and IoT analytics all rely on immediate action on data. All of these use cases deal with data points in a continuous stream, each associated with a specific point in time.
- IBM Event Streams reduce costs
- enhance service quality,
- Reduce the time that it takes to deliver your services to your customers.
- Need expertise resources to use this efficiently
- there is no such product knowledge articles in place that we can refer to in case of issues.
September 27, 2023
Smooth and easy onboarding
IBM Event Stream solved our real-time data streaming issues. Previously,
there was a lot of lag in both the website and mobile app while
fetching from backend, now that lag is removed and we have happy
customers.
- It can be easily integrated also its based on kafka so everyone is on the same pace if we talk about using the programs
- handling massive traffic on day to day basis seamlessly
- In using downstreams
- Very limited capabilities out of the box
- The adoption around the service is low, requires focused marketing
December 18, 2022
Smoothest Apache Kafka
We use IBM Event Streams at Call Copy to build smart apps for events. We also engage event streams to act as a buffer for connecting our data sources to their data pools. We have also integrated Event streams with IBM Cloud Pak to improve how we scale in the cloud.
- It is adaptive and helps us create more engaging experiences on our platforms.
- The Key metrics dashboard is rich with insights.
- Even if you have experience with other event streaming software, you'll still have to take the IBM course because of its complexity.
September 09, 2021
Not a Kafkaesque UI
IBM Event Streams allows my cloud-focused team within my hosting-focused web development company to move an Apache Kafka-based pub/sub pattern from one of our pre-existing applications into the IBM cloud. It is being used within a single application at this time as a proof of concept and that application is consumed mostly by our team. The business problem that it addresses is hosting for our pub sub-app in the IBM Cloud. We had business reasons for using the IBM cloud in this case.
- UI is intuitive and easy to use.
- Apache Kafka has a great community.
- Being in the cloud is great.
- Monitoring capabilities are lacking for me; for example, I would like to have more visibility into queue depth.
February 14, 2019
Awesome IBM products
Message Hub is used to persist and transfer the operations domain data. It's being used to replay the data from a certain point in the past. The pub/sub model allows us to empower clients to choose when to start reading the data. It's been reliable and scalable.
- Replay capability
- Message persistence
- High throughput
- Monitoring capabilities
- Visibility into topics
- Dashboard for visualization
February 13, 2019
IBM Event Streams - Emerging Candidate in Streaming Space
We have performed an evaluation of IBM Event Streams for Event Streaming & Analytics. The idea is to use the Event Streams across the enterprise as an event streaming platform. We are still in the evaluation phase and trying to solve the problems of event-based streaming from different kinds of applications across the enterprise for real-time analytics of data.
- Seamless integration with existing MQ infrastructure.
- Basically uses the Core Kafka Framework.
- Geo-Replication.
- Dashboard for Topics management and analytics.
- Provide Capabilities to connect the Event Streams via REST Proxy.
- Schema Registry to handle Avro Formats.
- Provide Kafka Connect Sink & Source Connectors.