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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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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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 Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(58)

Attribute Ratings

Reviews

(1-3 of 3)
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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.
  • Easy monitoring based on logs to detect downtimes.
  • Find bugs/ areas of improvements on client end.
  • identify traffic patterns.
They have a limited product visibility and knowledgebase. So it have been very difficult to implement if they didn't go for extending existing integrations. It makes it easier and faster to implement with less on boarding time. you won't have to jump into a new world of complexity. One major thing in its favorability.
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.
  • IBM Event Stream is surprisingly easy to get started with by providing a free Lite tier. This makes it easy to adopt.
  • At this point we are in the development phase so it's too early to speculate on long term costs but IBM Event Streams certainly has an excellent offering with great cost analysis tools which we will make use of as things progress.
We evaluated Confluent Cloud, Amazon MSK and self managed Kafka. Overall IBM Event Streams has the best documentation and the team backing it up has deep technical knowledge and advice.
The product was very user friendly and extremely easy to get started with. The documentation is excellent and the free tier makes it very easy to get started with without having to make deep or long term financial commitments.
I met with the support team and they have deep technical and development understanding of the needs and the problems which IBM Event Streams addresses. If you are looking for a product backed by a highly technical support team then IBM Event Streams is probably the best choice. I was specifically impressed by the level of technical understanding my support team demonstrated.
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.

  • Development & uptime is much quicker.
  • Could seamlessly connect Native Java Clients, so no custom logic is needed.
  • Non-Java Clients are not seamlessly connected.
We are still in the evaluation process. To enable an event streaming platform for enterprise, IBM Event Streams is a strong candidate due to the ease of use and setup in the cloud. There are many capabilities we are trying to understand to see if IBM Event Streams is the right fit for our needs. I would rate its platform behind Confluent Cloud.
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