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Overview
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).
Comparisons
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Reviews and Ratings
(58)Attribute Ratings
Reviews
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
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
May 22, 2023
Why choose IBM Event Streams
Score 9 out of 10
Vetted Review
Verified User
We used IBM Event stream as a part of data analysis pipeline. We would ingest data into Event stream and then fan out to different processors. Our team really loved the product as some of us were already familiar with Kafka and it was very easy to setup. The interface is very intuitive.
- Integrates well
- Based on Opensource software
- Client libraries and support is awesome
- Good documentation from IBM cloud on how to use it well
- It's better to have some more sample projects
December 27, 2022
IB Living the dream with Event Streams
Use for marketing purposes to leverage varied synergistic datapoints to enable event and data driven and triggered campaigns
- insight identification
- pattern recognition
- seamless cloud application
- not the easiest to answer
- more marketing adoption and use
- awareness
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.
May 18, 2021
Reliable Kafka service provided by IBM
IBM Event Streams is being used by a department. It serves as the main messaging bus for the communication of our backend microservices. It provides high reliability and scaling when the traffic peaks. It also reduces the coupling of the microservices, so we can make changes much easier and more frequently without breaking stuff.
- It scales very well.
- It can handle a lot of traffic.
- It can retain the events when our services have issues.
- Not easy to monitor broker status.
- Not easy to monitor traffic.
- Scaling topic partitions has downtime.
November 05, 2020
Make your organization more agile by using IBM Event Streams !
Our company is currently in the process of implementing a messaging system - we develop event driven Microservices and needed an event streaming system based on Kafka which can address our needs. I reviewed IBM Event Streams and it is a great option. Event streams allows us to permanently store changes to domain objects in the form of events - the changes are then made available to various other services where they are materialized into certain solutions like Analytics, AI etc.
- IBM Event Streams offers a Lite tier which makes it incredible easy to get started.
- IBM Event Streams allows you to permanents persist / log events.
- Other back-end services can subscribe to events the want to consume.
- It will be great if the KSQL setup or some other type of stream manipulation technology comes bundled with IBM Event Streams.
- Currently we service the African region as well and we would love a region in South Africa.
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.