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Cloudera Data Platform vs Reltio Cloud comparison

 

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
5th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Data Management Platforms (DMP) (3rd)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Ranking in AI Data Analysis
13th
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 August 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Cloudera Data Platform is 4.1%, up from 0.8% compared to the previous year. The mindshare of Reltio Cloud is 8.9%, down from 17.3% 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 Platform4.1%
Other87.0%
Cloud Master Data Management (MDM)
 

Featured Reviews

T Sarwar - PeerSpot reviewer
Data architect at SentientAI, Karachi
Has enabled efficient big data processing and querying but remains complex to manage and configure
Cloudera Data Platform should use fewer tools and remove the complexity between them. It should make it easier for the end user to change the configuration and understand it better. The UI tool for jobs in Cloudera Data Platform can be improved to provide a proper image of ETL jobs and detailed consolidated graphs to monitor Spark-based Hue jobs.
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

"Hortonworks is 100% Open Source."
"We have successfully ported a Microsoft SSIS product application into Hadoop, that saved millions of dollars for the company and, at the same time, they are getting better performance."
"Hadoop/Cloudera is still much cheaper than Oracle's RDBM system, if you want to handle a huge amount of data and make complex analytics."
"It is a scalable platform."
"Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."
"Ease of deployment and management of the Hadoop cluster are features we've found most valuable."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"The Hadoop value proposition is in expanded functionality, linear scalability, and reduced software and infrastructure costs."
"We can store the data and enrich it from multiple sources."
"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."
"The solution saves 30% to 40% of our time."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"Its user interface is different from that of other MDM solutions like Informatica"
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"It is very easy to learn. The"
"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."
 

Cons

"Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient."
"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."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases (Oracle/Teradata, etc.), which would save a lot of money for the company."
"We have had problems with the backup and with services that require a disaster site."
"Initially, we went with Cloudera due to it being a popular choice in the market, etc, then realized it was bad choice."
"That said, there’s still room for improvement in integration speed and UI responsiveness, especially when managing large clusters or hybrid deployments."
"Security and workload management need improvement."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"The solution's UI could be enhanced, and its record filtering could be expanded."
"Initially, the UI was limited in features."
"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."
"Sometimes, the service goes down for maintenance or when we run a lot of jobs so things get pushed to the queue and results don't get delivered on time."
"The deployment is difficult."
"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."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"The customer support is adequate, but not exceptional."
 

Pricing and Cost Advice

"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."
"It is priced well and it is affordable"
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Construction Company
12%
Financial Services Firm
10%
Comms Service Provider
6%
Financial Services Firm
12%
Manufacturing Company
12%
Computer Software Company
11%
Construction Company
7%
 

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: June 2026.
908,834 professionals have used our research since 2012.