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CloudQuery vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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

CloudQuery
Ranking in Cloud Data Integration
23rd
Average Rating
9.0
Reviews Sentiment
6.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Cloud Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (7th), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of August 2026, in the Cloud Data Integration category, the mindshare of CloudQuery is 0.6%, up from 0.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.8%, up from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)6.8%
CloudQuery0.6%
Other92.6%
Cloud Data Integration
 

Featured Reviews

MR
Cloud Security Support at a tech vendor with 501-1,000 employees
AI-driven queries have transformed how I discover hidden cloud assets and misconfigurations
One of the improvements that could be made to CloudQuery is the GUI. In the past, I had issues where I couldn't see all the information that would pop up at the bottom. That might be fixed by now, but I was experiencing issues with the GUI itself. CloudQuery's AI capabilities lack governance and security features. While the AI is great for helping me craft SQLs to find assets in the environment, it does not have real security features for blocking or similar tasks. I can set up SQLs for alerting, but I find that a bit limiting. For what it is, CloudQuery is great. The only improvement I could suggest would be to set up more alerting features, but overall it is great for what it is, and I would say it feels a little bit limiting.
RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

Quotes from Members

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

Pros

"The AI-generated SQL works well for my team as it gets things right most of the time."
"CloudQuery has positively impacted my organization because instead of navigating through multiple cloud consoles, I can run an SQL query and get, for example, all my S3 buckets that are public, private, or that I need to do something with."
"I used IBM InfoSphere before but Informatica is much, much better; gold standard."
"The quality of the data improves with Informatica Cloud Data Quality."
"It's probably one of the leading lights in ETL."
"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."
"The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors."
"The features for data quality, data cataloging, and UI are excellent."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management, and you can write code to build your logic rules to check the quality."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
 

Cons

"CloudQuery really acts as an asset inventory tool, which is great, but I find that somewhat limiting."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"There is room for improvement in the support. The response time could be faster."
"It can be improved in terms of performance and execution. I'm expecting better performance."
"With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different."
"We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"Their support should be improved. We have had some trouble with their support from time to time."
"The error information provided is not informative, as compared to Power Center."
 

Pricing and Cost Advice

Information not available
"We got a 50% discount."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"We pay for a yearly subscription."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"The licenses attached to the solution are highly priced."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"Informatica is very expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
9%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

What needs improvement with CloudQuery?
CloudQuery could maybe integrate with some AI agents like ChatGPT or Claude to help us do some things like writing in natural language instead of SQL. Regarding CloudQuery's AI capabilities, I thin...
What is your primary use case for CloudQuery?
My main use case for CloudQuery is as a tool for inventory platforms that lets me extract, transform, and query infrastructure data using SQL. A quick specific example of how I use CloudQuery in my...
What advice do you have for others considering CloudQuery?
My advice to others looking into using CloudQuery is that if you like SQL, you can use this product as if it was MySQL, SQL Server, or any other relational database. I would rate this product a 10 ...
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 ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Information Not Available
The Travel Company, Carbonite
Find out what your peers are saying about CloudQuery vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: July 2026.
909,153 professionals have used our research since 2012.