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https://dudodiprj2sv7.cloudfront.net/product-logos/Iz/8s/T5U04OIB8VR7.PNGAwesome IBM productsMessage 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,7,Avoided maintenance overhead that comes with point-to-point messaging High-thruput when compared to MQ Ease of setup leading to quicker turnarounds and deliveries,,IBM Cloud Databases (formerly Compose), IBM MQ, IBM Case ManagerIBM Event Streams - Emerging Candidate in Streaming SpaceWe 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.,5,Development & uptime is much quicker. Could seamlessly connect Native Java Clients, so no custom logic is needed. Non-Java Clients are not seamlessly connected.,Hortonworks Data Platform and Confluent Cloud,Hortonworks Data Platform, Confluent Cloud, IBM API Connect
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IBM Event Streams (formerly Message Hub)
2 Ratings
Score 5.5 out of 101
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IBM Event Streams (formerly Message Hub) Reviews

IBM Event Streams (formerly Message Hub)
2 Ratings
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Score 5.5 out of 101
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February 13, 2019

IBM Event Streams (formerly Message Hub) Review: "Awesome IBM products"

Score 7 out of 10
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Verified User
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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 less or more data that they wish to.
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February 13, 2019

IBM Event Streams (formerly Message Hub) Review: "IBM Event Streams - Emerging Candidate in Streaming Space"

Score 5 out of 10
Vetted Review
Verified User
Review Source
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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IBM Event Streams (formerly Message Hub) Scorecard Summary

About IBM Event Streams (formerly Message Hub)

IBM Event Streams (formerly known as Message Hub) is a high-throughput message bus built with Apache Kafka. It is optimized for event ingestion into IBM Cloud and event stream distribution between your services and applications. In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic and choose to either receive all the topic's messages or to share the messages between them. Event Streams hosts and maintains the messages in an ordered sequence.

You can use Event Streams to complete the following tasks:
  • Offload work to back-end worker processes.
  • Connect stream data to analytics to realize powerful insights.
  • Publish event data to multiple applications to react in real time.
  • Transfer data into another service. For example, to long-term storage.
Visit our Docs pages for pricing and support information.

IBM Event Streams (formerly Message Hub) Supported Products

IBM Event Streams (formerly Message Hub) Competitors

Confluent Cloud, Amazon Kinesis, Apache Kafka on AWS

IBM Event Streams (formerly Message Hub) Availability

Geography:Unites States, United Kingdom, Australia, Germany
Supported Languages: English, French, German, Italian, Japanese, Korean, Portugese/Brazil, Spanish, Chinese simplified, Chinese traditional