Confluent vs. IBM Event Streams

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Confluent
Score 7.4 out of 10
N/A
Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.N/A
IBM Event Streams
Score 8.5 out of 10
N/A
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.N/A
Pricing
ConfluentIBM Event Streams
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ConfluentIBM Event Streams
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
ConfluentIBM Event Streams
Considered Both Products
Confluent

No answer on this topic

IBM Event Streams
Chose IBM Event Streams
In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. …
Chose IBM Event Streams
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 …
Top Pros
Top Cons
Features
ConfluentIBM Event Streams
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Confluent
9.1
2 Ratings
12% above category average
IBM Event Streams
-
Ratings
Real-Time Data Analysis10.02 Ratings00 Ratings
Visualization Dashboards8.02 Ratings00 Ratings
Data Ingestion from Multiple Data Sources10.02 Ratings00 Ratings
Low Latency9.02 Ratings00 Ratings
Integrated Development Tools8.02 Ratings00 Ratings
Linear Scale-Out9.02 Ratings00 Ratings
Data Enrichment10.01 Ratings00 Ratings
Best Alternatives
ConfluentIBM Event Streams
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10

No answers on this topic

Medium-sized Companies
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.7 out of 10
Apache Kafka
Apache Kafka
Score 8.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 8.0 out of 10
Apache Kafka
Apache Kafka
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ConfluentIBM Event Streams
Likelihood to Recommend
10.0
(2 ratings)
7.9
(15 ratings)
Usability
-
(0 ratings)
8.2
(1 ratings)
Support Rating
10.0
(1 ratings)
9.1
(1 ratings)
Ease of integration
-
(0 ratings)
7.8
(10 ratings)
User Testimonials
ConfluentIBM Event Streams
Likelihood to Recommend
Confluent
If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement.
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IBM
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
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Pros
Confluent
  • Products work great.
  • Training is available.
  • Customer support is good.
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IBM
  • It is adaptive and helps us create more engaging experiences on our platforms.
  • The Key metrics dashboard is rich with insights.
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Cons
Confluent
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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IBM
  • Provide Capabilities to connect the Event Streams via REST Proxy.
  • Schema Registry to handle Avro Formats.
  • Provide Kafka Connect Sink & Source Connectors.
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Usability
Confluent
No answers on this topic
IBM
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.
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Support Rating
Confluent
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
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IBM
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.
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Alternatives Considered
Confluent
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
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IBM
In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. Event Streams. Event Streams stores three replicas of your data to ensure the highest level of resilience across three availability zones.
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Return on Investment
Confluent
  • It enables us to develop event driven application.
  • It increases our ability to handle streaming data.
  • It reduces latency of communication.
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IBM
  • In using downstreams, the minimal features and the rate of releases were slow, makes us feel that there's no upgrades and other than that there's poor marketing of the product.
  • The adoption around the service is low, requires focused marketing.
  • Lack of visibility into topic depth , Monitoring capabilities
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ScreenShots