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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:
 

ROI

No sentiment score available
Sentiment score
7.2
Startups using Google Cloud Dataflow report cost savings and up to 70% time efficiency, though full ROI is still unclear.
 

Customer Service

Sentiment score
7.0
Confluent's customer service is praised for responsiveness and efficiency, though some users desire improved guidance and best practices.
No sentiment score available
 

Scalability Issues

Sentiment score
7.3
Confluent efficiently scales across diverse industries, handling high data volumes, but faces challenges in multi-cloud and scaling down.
No sentiment score available
 

Stability Issues

Sentiment score
7.4
Confluent is generally stable with few bugs, but occasional outages occur, especially during Azure integration and maintenance.
Sentiment score
8.2
Google Cloud Dataflow is generally viewed as stable, receiving high ratings for reliability from most users.
 

Room For Improvement

Confluent requires enhanced plugins, usability, integration, security, documentation, cost management, search, governance, and tool expansion for improved user experience.
 

Setup Cost

Confluent's pricing is seen as high and inflexible, with larger organizations favoring open-source alternatives for cost efficiency.
 

Valuable Features

Confluent offers scalability, easy navigation, integrations, real-time streaming, customization, and user-friendly management, with strong support and documentation.
 

Categories and Ranking

Confluent
Ranking in Streaming Analytics
3rd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
Google Cloud Dataflow
Ranking in Streaming Analytics
8th
Average Rating
7.8
Reviews Sentiment
7.3
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Streaming Analytics category, the mindshare of Confluent is 9.1%, down from 12.1% compared to the previous year. The mindshare of Google Cloud Dataflow is 8.4%, up from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Gustavo-Barbosa Dos Santos - PeerSpot reviewer
Has good technical support services and a valuable feature for real-time data streaming
Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.
Tamer Talal - PeerSpot reviewer
A tool useful for data transmission and data storage that needs to improve its authentication area
The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the product is an area of concern where improvements are required. In the future, the product should be made available at a cheaper rate.
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
8%
Insurance Company
5%
Financial Services Firm
17%
Retailer
12%
Computer Software Company
11%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
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 maintenanc...
What needs improvement with Confluent?
One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it c...
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 needs improvement with Google Cloud Dataflow?
The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the p...
 

Comparisons

 

Also Known As

No data available
Google Dataflow
 

Learn More

 

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: December 2024.
824,053 professionals have used our research since 2012.