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Confluent vs IBM Streams comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Confluent
Ranking in Streaming Analytics
7th
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
No ranking in other categories
IBM Streams
Ranking in Streaming Analytics
23rd
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Streaming Analytics category, the mindshare of Confluent is 6.3%, down from 8.4% compared to the previous year. The mindshare of IBM Streams is 2.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.3%
IBM Streams2.1%
Other91.6%
Streaming Analytics
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
AVP - Sr Middleware Messaging Integration Engineer at Wells Fargo
Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.
Ahmed_Emad - PeerSpot reviewer
Territory Sales Leader at Sumerge
A solution for data pipelines but has connector limitations
We have used Kafka for seven years. IBM streams gives you many OOTB features that can boost the time-to-market, especially when it comes to reporting and monitoring for example. Confluent is recognized as one of the leaders in this space and the main reason for this is related to the complete vision of the platform also the large number of connectors. This gives the edge and competitive advatnage.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The design of the product is extremely well built and it is highly configurable."
"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The monitoring module is impressive."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"The documentation process is fast with the tool."
"We mostly use the solution's message queues and event-driven architecture."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"The product has enabled us to create solutions to client problems that would have either been impossible or very expensive/difficult using other technologies."
"As a result, the TELCO company was able to cut down the time it took to respond to customer needs and there were fewer complaints."
"Easy development and deployment, Java implementation features, and the real time analyser and alarm function are the most valuable features for us."
"The OEM Solution (Excel-medical.com) running on top of IBM Streams provides real-time clinical algorithms that can give better insight into the patient's acuity, thus cutting off time to discharge patients and inversely making sure that sick patients don't get discharged until ready."
 

Cons

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could have more integration with different platforms."
"It requires some application specific connectors which are lacking. This needs to be added."
"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"It would be great if the knowledge based documents in the support portal could be available for public use as well."
"I’d like to see a tool kit specifically targeted at incremental machine learning. It’s already great for scoring previously trained models, but dynamically updating models is currently more of a 'grow your own' kind of thing."
"The price and versatility of this product need to improve - it is not inexpensive."
"The development IDE sometimes crashes and freezes."
"We had some stability issues where we used embedded Zookeeper in production."
 

Pricing and Cost Advice

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"Confluent is highly priced."
"Confluent is an expensive solution."
"It comes with a high cost."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Retailer
12%
Manufacturing Company
7%
Computer Software Company
6%
Government
18%
Financial Services Firm
14%
Construction Company
14%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise17
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about ...
What is your primary use case for Confluent?
The main use cases for Confluent are log aggregation and streaming. I'm familiar with Confluent stream processing with KSQL. KSQL helps in terms of data analytics strategies because if we are the d...
Ask a question
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Comparisons

 

Also Known As

No data available
IBM InfoSphere Streams
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
Find out what your peers are saying about Confluent vs. IBM Streams and other solutions. Updated: August 2026.
911,994 professionals have used our research since 2012.