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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
88
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 June 2025, in the Streaming Analytics category, the mindshare of Apache Kafka is 3.0%, up from 1.9% 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

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 is the performance that is really meaningful."
"It is a useful way to maintain messages and to manage offset from our consumers."
"A great streaming platform."
"It seemed pretty stable and didn't have any issues at all."
"Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it."
"Apache Kafka's most valuable features include clustering and sharding...It is a pretty stable solution."
"Kafka is scalable. It can manage a high volume of data from many sources."
"Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful."
"It improves the performance."
 

Cons

"Apache Kafka could improve data loss and compatibility with Spark."
"There is a lot of information available for the solution and it can be overwhelming to sort through."
"Prioritization of messages in Apache Kafka could improve."
"Kafka is complex and there is a little bit of a learning curve."
"For the original Kafka, there is room for improvement in terms of latency spikes and resource consumption. It consumes a lot of memory."
"Some vendors don't offer extra features for monitoring."
"The solution's initial setup process was complex."
"More adapters for connecting to different systems need to be available."
"Skill requirement is required. There is a learning curve."
 

Pricing and Cost Advice

"This is an open-source solution and is free to use."
"Apache Kafka is free."
"The price of the solution is low."
"The price of Apache Kafka is good."
"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."
"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 is an open-sourced solution. There are fees if you want the support, and I would recommend it for enterprises. There are annual subscriptions available."
"It's a premium product, so it is not price-effective for us."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
12%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
27%
Computer Software Company
17%
Manufacturing Company
7%
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: June 2025.
856,873 professionals have used our research since 2012.