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CloverETL 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

CloverETL
Ranking in Data Integration
57th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (31st)
Informatica Intelligent Dat...
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (8th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (1st), AI Data Analysis (1st)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 4.7% 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)3.6%
CloverETL0.8%
Other95.6%
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…
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. 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. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"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.​​"
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"We switched to CloverETL because of its flexibility to connect to various data sources and 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."
"I rate the solution's scalability a ten out of ten."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"Able to customize data search and data sharing."
"I am a fan of Informatica and it is definitely a product that I recommend because of its inbuilt capabilities."
"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."
"Informatica Cloud Data Integration is stable."
"It is very useful for testing purposes and designing mappings for small projects."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
 

Cons

"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."
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."
"Its documentation could be improved.​"
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"Its cloud-based version has a few limitations compared to the on-premise version."
"The cloud version of Axon is far behind the on-prem, and many of my clients want to go fully to the cloud. However, Axon has to be an on-prem installation. I would like to see their cloud products catch up with their on-prem capabilities."
"It needs to be a little more intuitive but it’s really not bad."
"Informatica MDM could improve the interdependency with integration."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
"I would like to see more API integration to have the capability to build a report using other third party reporting tools allowing things to be streamlined."
 

Pricing and Cost Advice

Information not available
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Informatica Cloud Data Quality is a costly solution."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"It's a very expensive solution"
"The pricing model is something that can be improved."
"I rate the licensing cost of Informatica MDM a five out of ten."
"Informatica MDM's price could be lower."
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Top Industries

By visitors reading reviews
Construction Company
27%
Manufacturing Company
13%
Computer Software Company
10%
Retailer
6%
Financial Services Firm
13%
Manufacturing Company
10%
Retailer
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise154
 

Questions from the Community

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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: May 2026.
893,244 professionals have used our research since 2012.