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Apache Kafka 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

Apache Kafka
Ranking in Streaming Analytics
8th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
87
Ranking in other categories
No ranking in other categories
Informatica Data Engineerin...
Ranking in Streaming Analytics
16th
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 May 2025, in the Streaming Analytics category, the mindshare of Apache Kafka is 2.8%, up from 1.9% compared to the previous year. The mindshare of Informatica Data Engineering Streaming is 1.5%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Snehasish Das - PeerSpot reviewer
Data streaming transforms real-time data movement with impressive scalability
I worked with Apache Kafka for customers in the financial industry and OTT platforms. They use Kafka particularly for data streaming. Companies offering movie and entertainment as a service, similar to Netflix, use Kafka Apache Kafka offers unique data streaming. It allows the use of data in…
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

"Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication."
"The high availability is valuable. It is robust, and we can rely on it for a huge amount of data."
"Apache Kafka is an open-source solution that can be used for messaging or event processing."
"It is the performance that is really meaningful."
"When comparing it with other messaging and integration platforms, this is one of the best rated."
"Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it."
"The most valuable features are the stream API, consumer groups, and the way that the scaling takes place."
"All the features of Apache Kafka are valuable, I cannot single out one feature."
"It improves the performance."
 

Cons

"The solution's initial setup process was complex."
"As an open-source project, Kafka is still fairly young and has not yet built out the stability and features that other open-source projects have acquired over the many years. If done correctly, Kafka can also take over the stream-processing space that technologies such as Apache Storm cover."
"In the data sharing space, the performance of Apache Kafka could be improved. The performance angle is critical, and while it works in milliseconds, the goal is to move towards microseconds."
"I would like to see monitoring service tools."
"Config management can be better."
"The third party is not very stable and sometimes you have problems with this component. There are some developments in newer versions and we're about to try them out, but I'm not sure if it closes the gap."
"Apache Kafka can improve by providing a UI for monitoring. There are third-party tools that can do it, but it would be nice if it was already embedded within Apache Kafka."
"The support on Apache Kafka could be improved."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."
"Apache Kafka has an open-source pricing."
"The cost can vary depending on the provider and the specific flavor or version you use. I'm not very knowledgeable about the pricing details."
"The solution is open source."
"I was using the product's free version."
"Apache Kafka is free."
"Kafka is open-source and it is cheaper than any other product."
"Apache Kafka is open-source and can be used free of charge."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
31%
Computer Software Company
12%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
26%
Computer Software Company
15%
Manufacturing Company
13%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What are the differences between Apache Kafka and IBM MQ?
Apache Kafka is open source and can be used for free. It has very good log management and has a way to store the data used for analytics. Apache Kafka is very good if you have a high number of user...
What do you like most about Apache Kafka?
Apache Kafka is an open-source solution that can be used for messaging or event processing.
What is your experience regarding pricing and costs for Apache Kafka?
Its pricing is reasonable. It's not always about cost, but about meeting specific needs.
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

Uber, Netflix, Activision, Spotify, Slack, Pinterest
Jewelry TV
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: March 2025.
849,686 professionals have used our research since 2012.