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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
1st
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 (1st), API Management (5th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), 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)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Ranking in AI Data Analysis
12th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
AI Customer Experience Personalization (18th)
 

Mindshare comparison

As of September 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 18.7%, down from 26.4% compared to the previous year. The mindshare of Reltio Cloud is 8.7%, down from 16.0% 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)18.7%
Reltio Cloud8.7%
Other72.6%
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 scalability of the solution is excellent."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"Offers data lineage feature"
"It is quite useful and flexible compared to other vendors in terms of cost of implementation and use case."
"It has a more UI-based tool, and the scripting is good."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"It's great as a unified enterprise data management platform."
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"We can store the data and enrich it from multiple sources."
"The solution saves 30% to 40% of our time."
"Its user interface is different from that of other MDM solutions like Informatica"
"Reltio Cloud offers advantages over competitors, including a dashboard with a good amount of detail that looks significantly better than Informatica or Stibo."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."
"It is a scalable product, and the scalability is good. We can configure users."
 

Cons

"Interoperability is one area where EDC has room for improvement."
"The cloud version could be better in terms of pricing."
"The product is more expensive than other similar solutions."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"Don't know yet. In a trial now. There is much to find out, first and foremost, its performance level when compared with on-prem."
"The solution should improve its integration."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"The download process can be quite slow"
"The deployment is difficult."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"AI features should be introduced in Reltio more."
"Reltio Cloud can be improved by providing the possibility to connect with other connectors and databases such as Snowflake, Databricks, and eventually with Azure Data Factory."
"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."
"The solution's UI could be enhanced, and its record filtering could be expanded."
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
 

Pricing and Cost Advice

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"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 product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"The price is comparable."
"Its pricing model can be improved."
"The solution is very expensive."
"It's a very expensive solution"
"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."
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
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Manufacturing Company
12%
Financial Services Firm
11%
Outsourcing Company
9%
Computer Software Company
9%
 

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: September 2026.
913,806 professionals have used our research since 2012.