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Informatica Intelligent Data Management Cloud (IDMC) vs Segment comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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

Informatica Intelligent Dat...
Ranking in Data Governance
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), 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)
Segment
Ranking in Data Governance
27th
Average Rating
8.6
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Web Analytics (6th), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.0%, down from 8.5% compared to the previous year. The mindshare of Segment is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

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.
VikasAgarwal - PeerSpot reviewer
Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well if they fit your needs, but if you need something custom, you can't rely on the SDKs and have to use recipes. And using those recipes extensively isn't ideal. For example, we were getting leads from the D2C application, sending them to Segment, and then from Segment to HubSpot. If Segment could mimic HubSpot's API, we could leverage HubSpot's SDK capabilities even through Segment. But Segment's API is generic, so it doesn't do anything tailored to HubSpot. As a product designer, I know that would be hard to accomplish anyway. It's not a criticism, because I would probably design it the same way. But as a consumer, I don't care how it's designed; I care if it fits my use case. If not, how much effort will it take to make it work? That was the challenging part. It took a lot of time to integrate Segment and make it communicate with HubSpot in a certain way. So, the challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations. From my experience, it's mostly fine. It could benefit from more customization capabilities. The product itself is good, but it would be awesome if it allowed you to write your own extensions to augment the CDP's capabilities. And another suggestion. It's not about a missing feature, but rather something Segment is doing that I personally don't think a CDP should do. It's like a mobile phone you use for watching videos, listening to music, and making calls. But to be a good mobile phone, you need to be the best at making and receiving calls, and texting. Everything else is a distraction. Instead of optimizing for those distractions, you should solidify the basics. To illustrate this, Segment has many capabilities that overlap with things like CRMs, campaign management systems, tracking systems, and so on. These capabilities can give a small startup a real kick-start, but as you scale, the capabilities other than the core CDP features don't scale as well. For example, it does campaign management, but it's not really a full-fledged campaign management system. When you're starting out, it's fine, it's great, it fits almost all your use cases. But as you grow from a two-person organization to a 300-person organization, you'll have to deal with more complexity. You'll likely need to look for a dedicated campaign management system and integrate it with Segment. Now, if you've been using Segment's campaign management for a long time, moving that part to a different system will be a roadblock.

Quotes from Members

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

Pros

"It is a scalable product."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"You can extract and transfer your data as you wish it to be consumed later."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"The program is stable and scalable."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"Informatica Cloud Data Integration is stable."
"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
 

Cons

"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"The cloud version could be better in terms of pricing."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"The cost of Informatica MDM is expensive and has room for improvement."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"The price modeling could be more flexible."
"We currently have issues with real-time integration."
"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
 

Pricing and Cost Advice

"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"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."
"It is cost effective and an easily accessible tool."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"Comparatively, their prices are a little bit too high."
"It's an expensive solution."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"Informatica is very expensive."
"The pricing was on the higher side but it wasn't excessively high."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
Computer Software Company
12%
Financial Services Firm
10%
Energy/Utilities Company
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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 ...
What do you like most about Segment?
I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort requ...
What is your experience regarding pricing and costs for Segment?
The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest businesses, but it's well-suited for setups that anticipate significant growth.
What needs improvement with Segment?
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work we...
 

Also Known As

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
Segment.io
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Segment and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.