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

Informatica Data Engineering Streaming [EOL] vs Qlik Replicate 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
No ranking in other categories
Qlik Replicate
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
Data Integration (19th)
 

Featured Reviews

DK
BI Practice Lead at a tech services company with 51-200 employees
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.
reviewer2774796 - PeerSpot reviewer
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
Real-time outage insights have improved customer communication but data source support needs work
In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool, similar to Databricks and Azure Data Lake, depending on the kind of capabilities required. I believe that having updated documentation is crucial as we encountered a scenario while going through documentation that had not been updated since 2024, which introduced risks since we rely on accurate documentation for task imports and endpoint re-credentialing considerations before reaching out to customer support. Additionally, functionalities for running standardized data quality rules and validation logic, along with exception monitoring similar to what is available in Databricks, would be beneficial for users. While Qlik Replicate is scalable, I find there are limitations. When deploying a tool, it can be centralized, decentralized, or federated, depending on the organization's control and responsibility preferences. We successfully scaled several of our Oracle RDBMS systems simultaneously, including PeopleSoft HR and our network access request systems. However, addressing the shortcomings we discussed would enhance its competitiveness in the market.

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."
"We use Qlik Replicate to change data capture of databases in production environments."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"Support has been great."
"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"Great with replicating and updating records."
"The system is basically user-driven, mostly operating as a local platform."
"Qlik Replicate's real-time data delivery significantly impacts our organization's data insights, especially concerning network outages."
 

Cons

"Skill requirement is required. There is a learning curve."
"There is complexity involved in the licensing part of this system."
"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."
"We'd like better connectivity."
"In the next release, I would like to see closer integration with data catalyst."
"It's not possible to replicate the QVC files in data analytics."
"Support for this product is not great. It needs to be improved."
"Support response times could be improved as there are sometimes delays in receiving replies to support cases."
"The UI and data version control can be improved."
 

Pricing and Cost Advice

Information not available
"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
"Qlik Replicate is not expensive, compared to GoldenGate."
"Pricing for this solution is very reasonable."
report
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
881,733 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
8%
Retailer
7%
Insurance Company
5%
Financial Services Firm
16%
Insurance Company
10%
Manufacturing Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Large Enterprise11
 

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...
What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs. Currently, log monitoring is not easily accessible, so there should be improvement...
What is your primary use case for Qlik Replicate?
My customer's main use case for Qlik Replicate is with one of the payment banks in India. We have implemented this Replicate project for their source data migration to cloud solutions. They wanted ...
 

Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Jewelry TV
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics. Updated: January 2026.
881,733 professionals have used our research since 2012.