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Confluent vs Informatica Data Engineering Streaming comparison

 

Comparison Buyer's Guide

Executive Summary

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
4th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
23
Ranking in other categories
No ranking in other categories
Informatica Data Engineerin...
Ranking in Streaming Analytics
17th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Streaming Analytics category, the mindshare of Confluent is 8.3%, down from 10.6% compared to the previous year. The mindshare of Informatica Data Engineering Streaming is 1.5%, up from 1.1% 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.
DK
Helps with real-time data processing and improves decision-making overall
It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data warehouse from your source, transforming the data, and preparing and modeling it into some desired format. It improves the performance. You need to know how to use it and how to implement it, but it improves performance.

Quotes from Members

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

Pros

"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"Our main goal is to validate whether we can build a scalable and cost-efficient way to replicate data from these various sources."
"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"The documentation process is fast with the tool."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"The solution can handle a high volume of data because it works and scales well."
"It improves the performance."
 

Cons

"The formatting aspect within the page can be improved and more powerful."
"They should remove Zookeeper because of security issues."
"Confluent's price needs improvement."
"The pricing model should include the ability to pick features and be charged for them only."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"We continuously face issues, such as Kafka being down and slow responses from the support team."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"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."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"Confluent is an expensive solution."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"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 has a yearly license, which is a bit high because it's on a per-user basis."
"It comes with a high cost."
"Confluent is highly priced."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
6%
Insurance Company
5%
Financial Services Firm
28%
Computer Software Company
15%
Educational Organization
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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?
I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team. The lack of easy access to the Confluent support team is also a...
What needs improvement with Informatica Data Engineering Streaming?
Skill requirement is required. There is a learning curve.
What is your primary use case for Informatica Data Engineering Streaming?
We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.
What advice do you have for others considering Informatica Data Engineering Streaming?
Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...
 

Also Known As

No data available
Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
 

Overview

 

Sample Customers

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