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Informatica Intelligent Data Management Cloud (IDMC) vs Reltio Cloud comparison

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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

Informatica Intelligent Dat...
Ranking in Cloud Master Data Management (MDM)
1st
Ranking in AI Data Analysis
3rd
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) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), 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)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Ranking in AI Data Analysis
15th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
AI Customer Experience Personalization (22nd)
 

Mindshare comparison

As of November 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 18.1%, down from 25.1% compared to the previous year. The mindshare of Reltio Cloud is 8.9%, down from 14.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)18.1%
Reltio Cloud8.9%
Other73.0%
Cloud Master Data Management (MDM)
 

Q&A Highlights

it_user545286 - PeerSpot reviewer
Principal Software Systems Engineer at a tech services company with 5,001-10,000 employees
Dec 09, 2016
 

Featured Reviews

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.
reviewer2826747 - PeerSpot reviewer
Data Domain Lead at a government with 10,001+ employees
Unified data has created trusted golden records but complex AI matching still needs clearer control
Reltio Cloud has greatly enhanced our data management, and I acknowledge there are areas where our team continues to face challenges. Specifically, the AI-based matching feature operates like a black box, making it difficult to understand why certain records are matched or not matched accurately. If there could be better visual debugging and clarity regarding why records are matched, it would significantly aid our decision-making process. The technical configuration, particularly regarding data models and rule matching, can be overly complex for business users, hence a more user-friendly approach, with simplified guidelines, would be incredibly beneficial. Additionally, data stewardship can present complexities, and clearer actions can facilitate addressing these challenges. Performance issues can arise with larger data models and numerous data sources impacting system use, hence enhancements in optimization and ready-to-use features for complex configurations are essential. Pricing can also be convoluted; therefore, a clearer cost model would aid users in comprehending the structure. While data lineage has its merits, it is complex to interpret; thus, improved visualization would greatly benefit users. Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement.

Quotes from Members

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

Pros

"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."
"I am impressed by the solution's interface."
"The scalability is very high."
"The most valuable features are the structure masking and platform masking."
"With Informatica technical support has never been a problem; they are fantastic, and if you reach out to them and raise a case, they get onto it very quickly."
"The solution's scalability is high."
"The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"It is very easy to learn. The"
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"The solution saves 30% to 40% of our time."
"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."
"Its user interface is different from that of other MDM solutions like Informatica"
"There are default limitations and considerations. For instance, Reltio can store a maximum of 200 values for a single attribute. If your data exceeds this limit, you can request Reltio support to increase the limit. However, be aware that increasing this limit may impact performance, potentially slowing down data loading times."
"The most valuable feature is real-time synchronization. You can see the events as soon as they are posted within a couple of fraction seconds."
"We can store the data and enrich it from multiple sources."
 

Cons

"This service could be more cost-effective."
"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."
"Their support should be improved. We have had some trouble with their support from time to time. Its scalability should also be improved. I would also like to have a bit more modern and friendly UI for the end-users. There should definitely be a simplified way to configure and set it up."
"Compared to PowerCenter, Data Quality needs some improvement; when we are dealing with large amounts of data for extraction purposes, it doesn't always work out and we often experience some memory issues here and there."
"The cloud version could be better in terms of pricing."
"By improving customer service integration solutions development implementation style."
"There's definitely room for improvement in terms of user-friendliness. One example is that you can't search for jobs directly by file name. You can only search by job name. So, if you want to find a job that works with a specific file, you have to go through each job individually to find the right one. So, I'd like to see a faster search, one where I can search directly by file name."
"The ability of the product to leverage the power of big data could be improved."
"The deployment is difficult."
"The support team is slow to respond when we need assistance with workflow deployments. We must rely on their availability and contact them to receive the required JAR files."
"The download process can be quite slow"
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"AI features should be introduced in Reltio more."
"Reltio Cloud could be improved in two specific areas. Firstly, the API capability needs to be enhanced, as when utilizing the REST API and posting a significant amount of data, there are multiple rejections from the MDM side. This can be due to the MDM server not responding or being unable to process the request. Therefore, I suggest that the API capacity should be increased to handle larger amounts of data. Additionally, I have noticed that the response time from the servers can take up to a minute or a few seconds, which can be improved for a faster response time."
"There are many issues. For example, sometimes, errors related to tokenization occur while creating a match rule."
 

Pricing and Cost Advice

"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"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."
"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."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"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."
"The solution is very expensive."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
Information not available
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Answers from the Community

it_user545286 - PeerSpot reviewer
Principal Software Systems Engineer at a tech services company with 5,001-10,000 employees
Dec 9, 2016
Dec 9, 2016
Riversand technology is leader in the MDM space and makes a product called MDMcenter. Gartner and Forrester put these guys in a leader and visionary quadrant topping Informatica, oracle, and sap. They have a product used by many fortune 1000s and multinational companies. I have rolled out MDM solutions for a bunch of customers using different platforms and Riversand's is the best. They hav...
2 out of 7 answers
it_user348246 - PeerSpot reviewer
Architect at a tech services company with 51-200 employees
Dec 8, 2016
If you buy InfoSphere MDM Domain Hub Standard Edition you can use following products: IBM Process Server Standard v8.5.6 IBM Process Server Standard for Non-production Environment v8.5.6 IBM Process Center Standard v8.5.6 IBM Process Designer v8.5.6 IBM Content Integrator v8.6 IBM DB2 Enterprise Server Edition v10.5 IBM Cognos Business Intelligence V10.2.2.0 IBM InfoSphere Information Server Enterprise v11.5 IBM Integration Bus Healthcare Pack v3.0.0.0 IBM Integration Bus Express Edition v9.0.0.3 IBM Watson Explorer v10.0 IBM Rational Application Developer for WebSphere Software v9.5 IBM WebSphere Application Server Network Deployment v8.5.5 IBM WebSphere Application Server Base v8.5.5 IBM WebSphere MQ v8.0 IBM WebSphere Portal Server v8.5 IBM Installation Manager & IBM Packaging Utility for Rational Software Development Platform v1.8 IBM Security Directory Server v6.4.0.0 For IBM InfoSphere Master Data Management Enterprise Edition you can use also: IBM InfoSphere Big Match for Hadoop v11.5 InfoSphere Information Server contains both DataStage (ETL engine) and QualityStage (DQ components which are fully integrated with ETL). You could always check which products are provided in license on Software License Portal (http://www-03.ibm.com/software/sla/sladb.nsf/search)
it_user311469 - PeerSpot reviewer
Works with 10,001+ employees
Dec 8, 2016
Will do but can you help me out with my groceries for this week ? ( please stop sending me these emails. I am a professional not a volunteer) Sent from my iPhone
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Manufacturing Company
11%
Financial Services Firm
11%
Outsourcing Company
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
 

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 needs improvement with Reltio Cloud?
In future updates of Reltio Cloud, I would like to see features such as AI for match and merge, which can create predefined AI address doctors and match and merge for customer data, easily integrat...
What is your primary use case for Reltio Cloud?
I use Reltio Cloud for customer data management, specifically for C-MDM purposes.
What advice do you have for others considering Reltio Cloud?
Reltio Cloud was not purchased through AWS Marketplace or directly from the vendor. It was already available in my company at that time, so I used the system to showcase its capabilities. What coul...
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
iMiDiA, Slalom, MeritDirect, Cognizant
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Reltio Cloud and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.