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Amperity vs Informatica Intelligent Data Management Cloud (IDMC) comparison

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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

Amperity
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Customer Data Analysis (9th), Customer Data Integration (3rd), Customer Data Platforms (CDP) (7th)
Informatica Intelligent Dat...
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), Cloud Data Integration (3rd), 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)
 

Featured Reviews

JH
VP of IT
Marketing team has gained self-service access to clean customer data and runs targeted campaigns
Amperity offers very clean data and good analytics as its best features. Amperity helps with data cleanliness by removing all duplicates, consolidating all multiple data and repetitive data, and they do a great job on cleansing our data and making it into information. Amperity has positively impacted my organization because our marketing and e-commerce team does not require the IT team's help anymore; they are very self-driven and operating under a self-service model, and I am very happy to have that solution. This shift to self-service has led to measurable results, such as the ease of pulling the data using AI functionality and the speed of getting data because everything is so easy to use.
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

"Amperity has positively impacted my organization by helping improve visibility into customer data and supporting better decision-making."
"Amperity offers very clean data and good analytics as its best features."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"Informatica Cloud Data Integration is stable."
"The use case is embedding the data or the business glossary into the day-to-day workflow, for example, integrating it with Tableau so when people are looking at a Tableau report, they understand exactly what the data lineage is, where this data is coming from, and exactly what those business glossary terms mean so they can more accurately interpret and analyze the report."
"Informatica Cloud Data Integration is good overall."
"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."
"The scalability of the solution is excellent."
"The tool does give a good ROI."
"The valuable features include ease of use and quick response time with Informatica Intelligent Cloud Services; the performance and response time are notably faster."
 

Cons

"Amperity needs better onboarding documentation."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different."
"The product's pricing is definitely an area where a bit of improvement is needed."
"It needs to be a little more intuitive but it’s really not bad."
"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."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
 

Pricing and Cost Advice

Information not available
"The solution is expensive."
"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 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."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"The solution is very expensive."
"It's a costly solution"
"It's a very expensive solution"
"We got a 50% discount."
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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
7%
 

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 Amperity?
Amperity needs better onboarding documentation. Although it is very clear and intuitive, having guidance for initial setup would be helpful. I think there should be a kind of template for guidance....
What is your primary use case for Amperity?
I am exploring how to unify customer data from different sources and improve visibility across systems. We have email on one system, phone on another system, and orders on a third system, and we wa...
What advice do you have for others considering Amperity?
I find this interview pretty clear. Speeding it up a bit would be beneficial. My review rating for Amperity is eight.
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

J. Crew, TGI Friday's, Dick's Sporting Goods, Kendra Scott, Seattle Sounders FC
The Travel Company, Carbonite
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: August 2026.
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