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Cloudera Data Platform vs Reltio Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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

Cloudera Data Platform
Ranking in Cloud Master Data Management (MDM)
6th
Ranking in AI Data Analysis
4th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Data Management Platforms (DMP) (5th)
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 Cloudera Data Platform is 4.2%, up from 1.2% 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 (%)
Reltio Cloud8.9%
Cloudera Data Platform4.2%
Other86.9%
Cloud Master Data Management (MDM)
 

Featured Reviews

reviewer2776239 - PeerSpot reviewer
Data engineer at a tech vendor with 10,001+ employees
Uses handwritten notes and voice files to perform text analytics and gain real-time insights
Cloudera Data Platform can be improved in several areas. I recently attended their roadmap session. Whatever limitations they have identified involve moving data from on-premises to cloud as a single-pane view and better lineage. They have done some recent acquisitions as well to overcome their product limitations. They are on the right track by doing this analysis themselves, identifying what the weaknesses are, and then using mergers or acquisitions to overcome them. I would like to add that, beyond the platform itself, they should provide more training to systems integrators so that they can have a more ready workforce to use Cloudera Data Platform.
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 product offers a fairly easy setup process."
"Cloudera Data Platform has significantly improved our data management."
"In my experience, the best features Cloudera Data Platform offers are that all the services provided are excellent."
"Ambari Web UI: user-friendly."
"My main use case for Cloudera Data Platform is to support a multi-source system with different data types, handling semi-structured, structured, and unstructured data to support those kinds of workloads."
"Open-source Big community"
"Hortonworks is the best, comparing all three flavors."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"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."
"Its user interface is different from that of other MDM solutions like Informatica"
"Reltio Cloud has introduced a single source of truth, a solution to issues caused by teams sharing data via email and losing track of the latest updates, and as a result, up to 97-78% of operations now have a clearer view, allowing us to focus more on enhancing our operations rather than rectifying data discrepancies, thus productivity has surged, leading to significant cost reductions, with my estimate being over a million dollars in savings within the last few months, enabling faster decision-making and real-time data access without the need for manual compilation."
"It is very easy to learn. The"
"The solution saves 30% to 40% of our time."
"Reltio Cloud offers advantages over competitors, including a dashboard with a good amount of detail that looks significantly better than Informatica or Stibo."
 

Cons

"There have been some governance initiatives, but they are far from production ready."
"It would also be nice if there were less coding involved."
"The technical support is okay, but not excellent."
"It's at end of life and no longer will there be improvements."
"As this is open source, there are certain features that need tuning, such as the Hue UI."
"We face downtime and reliability issues many times a week with Cloudera Data Platform because it is a very complex system and all configurations are managed by the end user."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"Hadoop, does not provide improved performance, compared to traditional RDBMS, unless processing batches in the TB-PB range, or if the Hadoop platform has significantly more resources available."
"The deployment is difficult."
"AI features should be introduced in Reltio more."
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
"The customer support is adequate, but not exceptional."
"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 download process can be quite slow"
"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."
"What could be improved about Reltio Cloud was minimal."
 

Pricing and Cost Advice

"It is priced well and it is affordable"
"Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Comms Service Provider
11%
Financial Services Firm
9%
Outsourcing Company
9%
Manufacturing Company
11%
Financial Services Firm
11%
Outsourcing Company
9%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise26
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
 

Questions from the Community

What is your experience regarding pricing and costs for Hortonworks Data Platform?
The experience with pricing, setup cost, and licensing is very good.
What needs improvement with Hortonworks Data Platform?
Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful ...
What is your primary use case for Hortonworks Data Platform?
Cloudera Data Platform on AWS was adopted as the core enterprise data platform, covering the full data lifecycle from ingestion to analytics and advanced use cases. Cloudera Data Platform was used ...
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...
 

Overview

 

Sample Customers

Information Not Available
iMiDiA, Slalom, MeritDirect, Cognizant
Find out what your peers are saying about Cloudera Data Platform vs. Reltio Cloud and other solutions. Updated: October 2026.
920,769 professionals have used our research since 2012.