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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
7.0
Number of Reviews
86
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 March 2025, in the Streaming Analytics category, the mindshare of Apache Kafka is 2.4%, up from 2.0% compared to the previous year. The mindshare of Informatica Data Engineering Streaming is 1.3%, up from 0.9% 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

"It's very easy to keep to install and it's pretty stable."
"The most valuable feature is that it can handle high volume."
"Excellent speeds for publishing messages faster."
"Apache Kafka offers unique data streaming."
"The most valuable feature is the messaging function and reliability."
"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 processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers."
"The most valuable feature is the documentation, which is good and clear."
"It improves the performance."
 

Cons

"Maintaining and configuring Apache Kafka can be challenging, especially when you want to fine-tune its behavior."
"If the graphical user interface was easier for the Kafka administration it would be much better. Right now, you need to use the program with the command-line interface. If the graphical user interface was easier, it could be a better product."
"For the original Kafka, there is room for improvement in terms of latency spikes and resource consumption. It consumes a lot of memory."
"The user interface is one weakness. Sometimes, our data isn't as accessible as we'd like. It takes a lot of work to retrieve the data and the index."
"The repository isn't working very well. It's not user friendly."
"Apache Kafka can improve by making the documentation more user-friendly. It would be beneficial if we could explain to customers in more detail how the solution operates but the documentation get highly technical quickly. For example, if they had a simple page where we can show the customers how it works without the need for the customer to have a computer science background."
"The ability to connect the producers and consumers must be improved."
"Prioritization of messages in Apache Kafka could improve."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"It is open source software."
"Kafka is open-source and it is cheaper than any other product."
"The price for the enterprise version is quite high. For on-premise, there is an annual fee, which starts at 60,000 euros, but it is usually higher than 100,000 euros. The cost for a project including the subscription is usually between 100,000 to 200,000 euros. The cost also depends on the level of support. There are two different levels of support."
"We are using the free version of Apache Kafka."
"Kafka is an open-source solution, so there are no licensing costs."
"The price of Apache Kafka is good."
"This is an open-source version."
"I was using the product's free version."
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
5%
Financial Services Firm
23%
Manufacturing Company
16%
Computer Software Company
14%
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?
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support. Enterprises usually opt for the more cost-effective open-source edition.
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: February 2025.
842,296 professionals have used our research since 2012.