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IBM Event Streams

IBM Event Streams

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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Recent Reviews

Worth the spend

8 out of 10
October 24, 2023
Incentivized
Critical within our sales process and tracking ROI for marketing advertisement campaigns. We use it to ensure our data is accurate and …
Continue reading

Why choose IBM Event Streams

9 out of 10
May 22, 2023
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 …
Continue reading

Reliable Event Streamer

8 out of 10
December 20, 2022
Incentivized
We have started using IBM Event Streams to solve multiple problems in our organizations, in which most important is fraud analytics, so …
Continue reading

Smoothest Apache Kafka

8 out of 10
December 18, 2022
Incentivized
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 …
Continue reading

Not a Kafkaesque UI

6 out of 10
September 09, 2021
Incentivized
IBM Event Streams allows my cloud-focused team within my hosting-focused web development company to move an Apache Kafka-based pub/sub …
Continue reading

Awesome IBM products

7 out of 10
February 14, 2019
Incentivized
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 …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Product Details

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 Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesUnites States, United Kingdom, Australia, Germany
Supported LanguagesEnglish, 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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Comparisons

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Reviews and Ratings

(60)

Attribute Ratings

Reviews

(1-15 of 15)
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October 24, 2023

Worth the spend

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Critical within our sales process and tracking ROI for marketing advertisement campaigns. We use it to ensure our data is accurate and that the right employees can access the correct level of data to effectively do their job.
  • Analytics
  • Reporting
  • Onboarding
  • Intuitive
  • Documentation
If you need to connect data across multiple sources say Google Analytics, sales force or trigger sales funnel events this is a great tool
Score 7 out of 10
Vetted Review
Verified User
Incentivized
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.
We used it in two cases, and it went pretty good with both. We used it for analytics and logging alongside event-based communication between different tech-stacks.

One thing that users need to keep in mind is that it has a limited knowledgebase and will need a good understanding of Kafka to use it efficiently. So choose it carefully and when its needed.
October 07, 2023

Review IBM Event Streams

Engr Aijaz Ali Khushk | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Reporting and Monitoring of traffic and events and better user experience.IBM Event Streams Event-driven architectures and event streams can work in conjunction to give your business a better ability to react to events in real time. need expertise resources to use this efficiently. In using downstream, the minimal features and the rate of releases were slow, which makes us feel that there are no upgrades, and other than that there's poor marketing of the product. I hope it reaches more customers.
September 28, 2023

IBM Event Streams Review

Jacqueline Ruth | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It helps us pull reports across the finance and procurement organization. This way we are able to quickly access information without waiting on another person to provide.
  • Timely reporting
  • Accurate
  • Easy to use
  • better descriptions
  • more options
  • more user friendly
I am very likely to recommend IBM. The program is very well suited for our line of work. We use it to help pull data in support of finance and procurement functionalities.
September 27, 2023

Smooth and easy onboarding

Score 8 out of 10
Vetted Review
Verified User
Incentivized
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
Useful for: On-prem IIB to cloud solution integration in conjunction with Secure Gateway Based on Kafka, has a lot of positive sentiments among customers.
In using downstreams, the minimal features and the rate of releases were slow, which makes us feel that there's no upgrades and other than that there's poor marketing of the product
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
We felt that it's best for asynchronous processing of data. Managing a Kafka server is hard and time consuming, IBM cloud's Event stream is well suited for teams who don't want to manage their own server and use a fully managed solution instead. We didn't face any issue with our use case though.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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
organizations with data assets waiting to be resources
December 20, 2022

Reliable Event Streamer

Score 8 out of 10
Vetted Review
Verified User
Incentivized
We have started using IBM Event Streams to solve multiple problems in our organizations, in which most important is fraud analytics, so whenever a customer files instant claims too many times or have unusual activity we instantly send it for scrutiny, before approving the claims and procedures. We are also analyzing traffic and events on app and web to pitch the most suitable product to customer. Apart from this for APIs, we use it as messaging bus to handle peak demands during the day and ensure all payments are timely and successful.
  • UI is great
  • Apache Kafka
  • handles large traffic very well
  • Reliable and has less downtime
  • Monitoring of traffic
  • Reporting on traffic and events
It is well suited for event architecture, when things and decisions are real time and those decisions have some serious impact, so to provide better customer experience, we can use this as we found using it more reliable and less downtime than our previous self developed architecture. It is able to handle load well and queue requests when system is not working.
December 18, 2022

Smoothest Apache Kafka

Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
We have used IBM Event Streams to connect to critical systems in our company. We have also utilized it to provide wider event streams connectivity for our clients. IBM Event Streams is very suitable for sending events from native environments to appliances and critical workloads seamlessly. Events streams is impressive because deployment is not only limited to IBM cloud but can also work on Red Hat.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
IBM event streams help us to give an in-depth analysis of our traffic in real time. With the help of the IBM event stream, we can directly track the clicks on elements, text, and containers as well as on DOM. It helps us to manage huge amount of traffic on a daily basis and give us the option to create segments.
  • Ability to manage large traffic.
  • Real-time event logs.
  • Integration is smooth and easy.
  • Need to improve user experience, specifically in dashboard area.
  • Filter with 2nd dimensions is not useful.
IBM event streams are so powerful software that manages our huge amount of traffic, not only with the help of IBM event streams we can create useful insight with the data and create our campaign strategy.
September 09, 2021

Not a Kafkaesque UI

Score 6 out of 10
Vetted Review
Verified User
Incentivized
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.
If you are running an application that requires pub/sub capabilities like Apache Kafka and you want to run the pub /sub in the IBM cloud, then I think that this may be an appropriate technology choice for you. As there are comparable products in other cloud providers, it is worthwhile to consider the business externalities of your choice of cloud providers and choose the one that makes the most sense from that perspective.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
IBM Event Streams is good for use cases like live streaming or event processing. It can process events with very high throughput. Partitioning gives the user the power to scale up or down when necessary. It can also be used as the communication interface for different clouds.
Hanz van Aardt | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
IBM Event Streams is well suited for companies developing event driven Microservices. One of the biggest challenger with microservices is that your data gets distributed into little silos - event streaming (or better known as event sourcing) allows you to get a central source of truth in your event store. We are taking this approach with IBM Event Streams and it is well suited for building an event streaming / sourcing architecture.
February 14, 2019

Awesome IBM products

Score 7 out of 10
Vetted Review
Verified User
Incentivized
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
Excellent for messaging with tons of data. It's highly reliable, scalable and resilient. It's an excellent option for clients that look to get away from point-point messaging and the overhead that comes with it. It enables clients to have power to choose as little or as much data as they wish to.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
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.
It is well suited for: Event streaming backed with all the enterprise applications with basic data formats. Connectivity with existing MQ infrastructure. Adopting the legacy skills of resources, native clients using Java can connect seamlessly. Multi-data Center streaming use cases.
Not Suited for: Handling different data formats, Kafka Connect sink & source connectors to connect with HDFS, Databases etc, Schema registry, Non-Java Client Connectivity.

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