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Confluent vs Google Cloud Dataflow comparison

 

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
3rd
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
No ranking in other categories
Google Cloud Dataflow
Ranking in Streaming Analytics
9th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Streaming Analytics category, the mindshare of Confluent is 8.5%, down from 9.7% compared to the previous year. The mindshare of Google Cloud Dataflow is 5.1%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Confluent8.5%
Google Cloud Dataflow5.1%
Other86.4%
Streaming Analytics
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
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.
Jana Polianskaja - PeerSpot reviewer
Build Scalable Data Pipelines with Apache Beam and Google Cloud Dataflow
As a data engineer, I find several features of Google Cloud Dataflow particularly valuable. The ability to test solutions locally using Direct Runner is crucial for development, allowing me to validate pipelines without incurring the costs of full Dataflow jobs. The unified programming model for both batch and streaming processing is exceptional - requiring only minor code adjustments to optimize for either mode. This flexibility extends to language support, with robust implementations in both Java and Python, allowing teams to leverage their existing expertise. The platform's comprehensive monitoring capabilities are another standout feature. The intuitive interface, Grafana integration, and extensive service connectivity make troubleshooting and performance tracking highly efficient. Furthermore, seamless integration with Google Cloud Composer (managed Airflow) enables sophisticated orchestration of data pipelines.

Quotes from Members

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

Pros

"The documentation process is fast with the tool."
"The solution can handle a high volume of data because it works and scales well."
"The biggest benefit of Confluent as a tool is that it is a distributed platform that provides more durability and stability."
"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."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The client APIs are the most valuable feature."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"The service is relatively cheap compared to other batch-processing engines."
"The solution allows us to program in any language we desire."
"It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly."
"The integration within Google Cloud Platform is very good."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"Google's support team is good at resolving issues, especially with large data."
"I would rate the overall solution a ten out of ten."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."
 

Cons

"There is no local support team in Saudi Arabia."
"Confluent has a good monitoring tool, but it's not customizable."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"there is room for improvement in the visualization."
"They should remove Zookeeper because of security issues."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"It could have more integration with different platforms."
"Confluent's price needs improvement."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
"Promoting the technology more broadly would help increase its adoption."
"Google Cloud Dataflow should include a little cost optimization."
"The system could function in an automated fashion and provide suggestions based on past transactions to achieve better scalability."
"Occasionally, dealing with a huge volume of data causes failure due to array size."
"The authentication part of the product is an area of concern where improvements are required."
"The solution's setup process could be more accessible."
"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."
 

Pricing and Cost Advice

"Confluent is highly priced."
"You have to pay additional for one or two features."
"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 solution is cheaper than other products."
"It comes with a high cost."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is an expensive solution."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"Google Cloud Dataflow is a cheap solution."
"The solution is not very expensive."
"The tool is cheap."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."
"Google Cloud is slightly cheaper than AWS."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."
"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."
"The solution is cost-effective."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Retailer
8%
Manufacturing Company
6%
Financial Services Firm
17%
Manufacturing Company
11%
Retailer
11%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise10
 

Questions from the Community

What do you like most about 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 to...
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?
People do not appreciate that Confluent is pushing us more towards Teams because they want to use a true Microsoft Word-type format where we can format our sentences better, instead of just saying ...
What do you like most about Google Cloud Dataflow?
The product's installation process is easy...The tool's maintenance part is somewhat easy.
What is your experience regarding pricing and costs for Google Cloud Dataflow?
Pricing is normal. It is part of a package received from Google, and they are not charging us too high.
What needs improvement with Google Cloud Dataflow?
It can be improved in several ways. The system could function in an automated fashion and provide suggestions based on past transactions to achieve better scalability. Implementing AI-based suggest...
 

Also Known As

No data available
Google Dataflow
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
Find out what your peers are saying about Confluent vs. Google Cloud Dataflow and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.