No more typing reviews! Try our Samantha, our new voice AI agent.

CloverETL vs Informatica Intelligent Data Management Cloud (IDMC) comparison

Why PeerSpot?
 

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

CloverETL
Ranking in Data Integration
62nd
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (34th)
Informatica Intelligent Dat...
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of CloverETL is 0.7%, up from 0.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.8%, down from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.8%
CloverETL0.7%
Other95.5%
Data Integration
 

Featured Reviews

it_user856614 - PeerSpot reviewer
Lead Programmer at a healthcare company with 10,001+ employees
Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation
Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…
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

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."
"No dependence on native language and ease of use.​​"
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"The profiling features are much better than the on-premise version."
"Product-wise, compared to other on-premise tools, Informatica Cloud Data Integration can be deployed on-premises and cloud."
"The product provides all the typical MDM capabilities like deduplication, machine survivorship, and other things."
"The most valuable feature is its friendly user interface, which makes it easier to create quality shared functionalities or quality rules."
"This solution is stable, and we haven't had any issues."
"The flexibility to interact with many different sources and targets like Oracle, MySQL, Flat Files, Informix, and SAP through PowerExchange, applying different transformations that you can configure in an intuitive way, gives both business and IT teams the opportunity to track the data lineage and also to provide value to the data workflows you create, integrated to feed the MDM solution together with Data Quality processes."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."
 

Cons

"Its documentation could be improved.​"
"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"There is no doubt that it is very expensive, but the brand value comes at a cost."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"I can't say the user interface is useless, but people don't use it because they find it cumbersome."
"The cloud version could be better in terms of pricing."
"The solution doesn't directly connect to any of the analytical tools."
"We currently have issues with real-time integration."
"There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
 

Pricing and Cost Advice

Information not available
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"The licensing price of the product depends on the organization's requirements."
"The licenses attached to the solution are highly priced."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"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."
"Its pricing model can be improved."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
920,769 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
25%
Comms Service Provider
16%
Manufacturing Company
13%
Computer Software Company
9%
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

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

Ask a question
Earn 20 points
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

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
The Travel Company, Carbonite
Find out what your peers are saying about CloverETL vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.