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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Replicate comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

ROI

Sentiment score
7.1
Informatica IDMC enhances data quality, efficiency, and analytics, offering secure integration and reduced cloud migration costs for businesses.
Sentiment score
8.1
Qlik Replicate boosts efficiency by automating reporting, reducing costs, and accelerating data access for faster decision-making.
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.
 

Customer Service

Sentiment score
6.9
Informatica's customer service is praised for quick, knowledgeable support, though response times can vary with customization and membership levels.
Sentiment score
5.7
Qlik Replicate's support varies; clear communication helps, but users often face delays compared to more straightforward tools like HVR.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
Even priority tickets, which should be resolved in minutes, can take days.
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
 

Scalability Issues

Sentiment score
7.3
Informatica IDMC delivers scalable, flexible data management across cloud and on-premise environments, accommodating diverse enterprise needs efficiently.
Sentiment score
6.9
Qlik Replicate is scalable and flexible, benefiting medium organizations, but requires careful configuration and memory management for performance.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
The system could be scaled to include more sources and functions.
 

Stability Issues

Sentiment score
7.7
Informatica Cloud is highly rated for stability, despite occasional issues; support effectively resolves any reported bugs.
Sentiment score
8.5
Qlik Replicate is stable, efficiently handles large data, and users rate its reliability highly, despite minor API concerns.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

Informatica IDMC requires improvements in integration, user interface, performance, support consistency, connectivity, automation, data tagging, and pricing.
Qlik Replicate needs UI improvements, clearer pricing, better performance, increased automation, enhanced support, and expanded features and marketing.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.
 

Setup Cost

Informatica IDMC, a costly solution for large enterprises, offers extensive features and flexibility, justifying its premium pricing.
Qlik Replicate is competitively priced compared to GoldenGate, but can be costly for smaller businesses with machine capacity-based pricing.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
Licensing is calculated based on the machine's total capacity rather than actual usage.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
 

Valuable Features

Informatica IDMC excels in data management with strong integration, AI-driven analytics, and a flexible user interface.
Qlik Replicate efficiently transforms data in real-time, offering ease of use, comprehensive support, and seamless integration for dynamic management.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
The most valuable feature of Qlik Replicate is their change data capture feature.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
 

Categories and Ranking

Informatica Intelligent Dat...
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
186
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Qlik Replicate
Ranking in Data Integration
16th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 6.3% compared to the previous year. The mindshare of Qlik Replicate is 2.4%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Qlik Replicate2.4%
Other94.0%
Data Integration
 

Featured Reviews

SaurabhGaonshindhe - PeerSpot reviewer
Modular structure and AI features stream new reporting processes
One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.
KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
10%
Insurance Company
7%
Financial Services Firm
18%
Insurance Company
11%
Manufacturing Company
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
By reviewers
Company SizeCount
Small Business9
Large Enterprise10
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
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

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

The Travel Company, Carbonite
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Replicate and other solutions. Updated: August 2025.
867,341 professionals have used our research since 2012.