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Dataloader.io vs Informatica Intelligent Data Management Cloud (IDMC) 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

Dataloader.io
Ranking in Data Integration
44th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), 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 (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Dataloader.io is 0.2%, up from 0.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.3%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Aditi Bhardwaj - PeerSpot reviewer
Provides an ease of access and an automated mapping feature
We need help with large data migrations. It only works well for a few thousand records or less than a million records. Above that, we need to look for alternative solutions. They could provide automated transformation or mapping features around 10 to 15 independent data objects. We could have a default mark or limit of free usage for standard objects. It will be helpful. Additionally, we can have more integrations with large data volumes as we need a lot of exercises to handle the files in case of complex sites.
Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

Quotes from Members

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

Pros

"I find DataLoader's ability to easily integrate with external keys valuable, which is a bit more challenging with DBM."
"DataLoader is cost-effective since it is free."
"he product’s most valuable feature is ease of access."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"The best thing about Informatica Axon is that it integrates with the Electronic Data Capture and the Axon system."
"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."
"It is a highly scalable solution."
"It is one of the best tools available for data integration."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
 

Cons

"DataLoader has limitations, including constraints with file sizes and transactions."
"Dataloader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than Dataloader."
"We need help with large data migrations. It only works well for a few thousand records or less than a million records."
"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 would be great if the cloud version could match the full range of capabilities available on-premise."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"The solution should improve its integration."
"In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry."
"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"The price modeling could be more flexible."
 

Pricing and Cost Advice

"The product is inexpensive and economical."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"I have heard from customers that the product comes with a huge license cost."
"Its pricing model can be improved."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"We are quite happy with the licensing model."
"Informatica MDM's price could be lower."
"It's a costly solution"
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Dataloader.io?
he product’s most valuable feature is ease of access.
What is your experience regarding pricing and costs for Dataloader.io?
Dataloader.io is cost-effective, particularly since it is free.
What needs improvement with Dataloader.io?
DataLoader has limitations, including constraints with file sizes and transactions. Additionally, at times it can be slow, and when integrating DBM, we find it more complex than DataLoader.
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, 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
 

Overview

 

Sample Customers

UCSF, Box, CareFusion, Unilever, Hershey's
The Travel Company, Carbonite
Find out what your peers are saying about Dataloader.io vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: August 2025.
865,384 professionals have used our research since 2012.