Try our new research platform with insights from 80,000+ expert users

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

"The valuable features are the group community and support."
"Apache Kafka is very fast and stable."
"The connectors provided by the solution are valuable."
"The most valuable feature is the performance."
"The most valuable feature is the support for a high volume of data."
"Scalability is very good."
"Apache Kafka is an open-source solution that can be used for messaging or event processing."
"The most valuable feature of Apache Kafka is Kafka Connect."
"It improves the performance."
 

Cons

"Stability of the API and the technical support could be improved."
"The solution can improve by having automation for developers. We have done many manual calculations and it has been difficult but if it was automated it would be much better."
"We haven't seen a return on investment with Apache Kafka. It's used for a specific use case rather than cost reduction."
"They need to have a proper portal to do everything because, at this moment, Kafka is lagging in this regard."
"The management tool could be improved."
"Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation."
"The UI is based on command line. It would be helpful if they could come up with a simpler user interface."
"The price for the enterprise version is quite high. It would be better to have a lower price."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"We are using the free version of Apache Kafka."
"This is an open-source version."
"It is open source software."
"Kafka is an open-source solution, so there are no licensing costs."
"It's a bit cheaper compared to other Q applications."
"Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."
"Kafka is open-source and it is cheaper than any other product."
"It is approximately $600,000 USD."
Information not available
report
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
851,604 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
12%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
26%
Computer Software Company
16%
Manufacturing Company
10%
Educational Organization
5%
 

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: May 2025.
851,604 professionals have used our research since 2012.