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Informatica Data Engineering Streaming vs Magic xpi Integration Platform 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

Informatica Data Engineerin...
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
1
Ranking in other categories
Streaming Analytics (19th)
Magic xpi Integration Platform
Average Rating
3.0
Number of Reviews
1
Ranking in other categories
Integration Platform as a Service (iPaaS) (27th)
 

Mindshare comparison

Informatica Data Engineering Streaming and Magic xpi Integration Platform aren’t in the same category and serve different purposes. Informatica Data Engineering Streaming is designed for Streaming Analytics and holds a mindshare of 1.9%, up 1.1% compared to last year.
Magic xpi Integration Platform, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 0.7% mindshare, up 0.3% since last year.
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Informatica Data Engineering Streaming1.9%
Apache Flink14.6%
Databricks13.1%
Other70.4%
Streaming Analytics
Integration Platform as a Service (iPaaS) Market Share Distribution
ProductMarket Share (%)
Magic xpi Integration Platform0.7%
Microsoft Azure Logic Apps13.1%
Boomi iPaaS12.4%
Other73.8%
Integration Platform as a Service (iPaaS)
 

Featured Reviews

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.
it_user977634 - PeerSpot reviewer
A low-performing integration tool
We use it as an in-house back-type integration tool. It allows us to have different integrations between different systems It does not perform well. It needs more reusable components that are unlimited in time. Furthermore, it relies on the files systems and does not create components, so it is…

Quotes from Members

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

Pros

"It improves the performance."
"The stability of the solution is OK."
 

Cons

"Skill requirement is required. There is a learning curve."
"It is not performing well."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
12%
Retailer
6%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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...
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Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
Magic xpi Integration Platform, iBOLT
 

Overview

 

Sample Customers

Jewelry TV
Godrej Properties
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: August 2025.
867,349 professionals have used our research since 2012.