Confluent vs Qlik Compose comparison

The compared Confluent and Qlik solutions aren't in the same category. Confluent is ranked #7 in SA , with an average rating of 7.3, and holds a 6.4% mindshare in the category. Qlik is ranked #52 in DI , and holds a 0.8% mindshare. Additionally, 95% of Confluent users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Confluent

Read 25 Confluent reviews

6,170 Views
3,579 Comparison Views

95% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,621 Views
2,123 Comparison Views

81% willing to recommend

Confluent

Qlik Compose

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Confluent and Qlik Compose based on real PeerSpot user reviews.

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To learn more, read our detailed Streaming Analytics Report (Updated: August 2026).

Buyer's Guide

Streaming Analytics

August 2026

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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

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Streaming Analytics (7th)

Qlik Compose

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (52nd)

Mindshare comparison

Confluent and Qlik Compose aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.4%, down 8.3% compared to last year.
Qlik Compose, on the other hand, focuses on Data Integration, holds 0.8% mindshare, down 1.1% since last year.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Confluent	6.4%
Databricks	7.5%
Apache Flink	7.5%
Other	78.6%

Streaming Analytics

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Compose	0.8%
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
SSIS	3.7%
Other	91.7%

Data Integration

Featured Reviews

PavanManepalli

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.

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Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it. When it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

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Quotes from Members

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

Pros

"Some of the best features are that it's very quick to set up, very easy to have a centralized area that gives us a history of changes, and the ability to give feedback on any information placed onto the pages."

"Having used SharePoint in the past, when I compare with traditional, old document repositories, like SharePoint, I would definitely recommend Confluent."

"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."

"We primarily use Confluent for service desk and task management, and it is also good for knowledge base management."

"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 solution can handle a high volume of data because it works and scales well."

"We ensure seamless management of Kafka through Confluent, allowing all of our Kafka activities to be handled by a third party."

More Confluent pros

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

"It is a scalable solution."

"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."

"The technical support is very good. I rate the technical support a ten out of ten."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"Qlik Compose is good enough. It is user-friendly and intuitive."

"It can scale."

"I have found it to be a very good, stable, and strong product."

More Qlik Compose pros

Cons

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."

"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."

"There is no local support team in Saudi Arabia."

"Confluent has fallen behind in being the tool of the industry. It's taking second place to things such as Word and SharePoint and other office tools that are more dynamic and flexible than Confluent."

"Confluent's price needs improvement."

"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."

"It could be improved by including a feature that automatically creates a new topic and puts failed messages."

"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."

More Confluent cons

"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."

"Qlik's ETL and data transformation could be better."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"There could be more customization options."

"I don't think Qlik can be used in a high-volume scenario. It didn't work for us."

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

"I believe that visual data flow management and the transformation function should be improved."

"I'd like to have access to more developer training materials."

More Qlik Compose cons

Pricing and Cost Advice

"Confluent is highly priced."

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."

"Confluent is an expensive solution as we went for a three contract and it was very costly for us."

"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."

"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."

"The solution is cheaper than other products."

"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."

"Confluent is an expensive solution."

More Confluent pricing and cost advice

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"The price of the solution is expensive."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Retailer

12%

Computer Software Company

Manufacturing Company

Financial Services Firm

13%

Comms Service Provider

10%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

Questions from the Community

What is your experience regarding pricing and costs for Confluent?

They charge a lot for scaling, which makes it expensive.

See all answers

What needs improvement with Confluent?

See all answers

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...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

See all answers

Comparisons

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Compared 10% of the time

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Compared 7% of the time

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Compared 7% of the time

Amazon Kinesis vs Confluent

Compared 6% of the time

PubSub+ Platform vs Confluent

Compared 5% of the time

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Qlik Replicate vs Qlik Compose

Compared 10% of the time

AWS Database Migration Service vs Qlik Compose

Compared 9% of the time

SSIS vs Qlik Compose

Compared 7% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 7% of the time

WhereScape RED vs Qlik Compose

Compared 6% of the time

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Product Reports

Buyer's Guide

Confluent

August 2026

Download Confluent product report

Buyer's Guide

Qlik Compose

August 2026

Download Qlik Compose product report

Also Known As

No data available

Compose, Attunity Compose

Overview

Confluent offers scalable, open-source flexibility and seamless data replication, supported by strong cloud integration. Key features like Kafka Connect and real-time processing make it valuable for data streaming projects while ensuring high availability with a Multi-Region Cluster.

Confluent is a robust data streaming platform that enables efficient management and integration of real-time data pipelines. Its message-driven architecture and fault tolerance provide reliability, while a user-friendly dashboard and connectors support diverse data sources. Cloud integration reduces costs, and extensive documentation, plugins, and monitoring capabilities enhance collaboration and revision management. Despite some areas needing improvement, including security in the SaaS version and integration flexibility, Confluent remains a staple in industries requiring vast data processing and task automation.

What are Confluent's key features?

Scalability: Handles large volumes of data, ensuring continuous performance.
Kafka Connect: Enables seamless data integration across multiple systems.
Real-time Processing: Facilitates instant data insights for rapid decision-making.
Multi-Region Cluster: Maintains data availability across different geographical locations.
Cloud Integration: Reduces operational costs and enhances deployment flexibility.
User Dashboard: Simplifies management with an intuitive interface.

What benefits and ROI should users consider in reviews?

Cost-Efficiency: Improved processes reduce operational expenses.
Data Reliability: Ensures consistent and accurate data handling.
Increased Collaboration: Boosts team efficiency with comprehensive documentation and management tools.
Scalability: Supports business growth without compromising performance.
Integration Flexibility: Seamlessly connects with diverse data sources and systems.

Confluent is commonly implemented in finance, insurance, and software industries for applications like fraud detection, ETL tasks, and enterprise communication. It supports real-time data processing, project management, and task automation, often integrating with project management tools like Jira, providing valuable solutions for business processes.

Confluent

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost

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