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Cloudera Data Platform vs Reltio Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 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
6th
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)
2nd
Ranking in AI Data Analysis
4th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
AI Customer Experience Personalization (8th)
 

Mindshare comparison

As of May 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Cloudera Data Platform is 3.3%, up from 0.4% compared to the previous year. The mindshare of Reltio Cloud is 10.3%, down from 16.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Reltio Cloud10.3%
Cloudera Data Platform3.3%
Other86.4%
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

"It has helped our organisation cater to clients who are using Big Data for data storage and analysis combined with our security product."
"Hortonworks is the best, comparing all three flavors."
"Open-source Big community"
"We use it for data science activities."
"From a product standpoint, their Ambari UI is incredibly valuable for cluster monitoring."
"Cloudera Data Platform is a perfect tool to manage such vast amounts of big data, store it properly, query it, and move it from one end to another."
"Cloudera Data Platform has significantly improved our data management."
"Customer service is great."
"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."
"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."
"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."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"The solution saves 30% to 40% of our time."
"Its user interface is different from that of other MDM solutions like Informatica"
 

Cons

"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."
"It's at end of life and no longer will there be improvements."
"It requires too much coding work; we're not good Java and Python developers."
"I have not seen enough innovation in Cloudera Data Platform, particularly in support for machine learning."
"Security and workload management need improvement."
"A major drawback that I see with Cloudera Data Platform is that it tends to be one or two years behind the latest open-source implementation of the Apache toolkits such as Spark, Hive, and everything else, which relates to the guardrails of following compliance as the main driving factor, so that is something that could be done better on Cloudera Data Platform's side."
"Customer Service: 3/10 Technical Support: 3/10"
"Security- Although they support Knox and Ranger and Kerberos, they are still missing attribute-level encryption features."
"Initially, the UI was limited in features."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."
"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."
"The deployment is difficult."
"The download process can be quite slow"
"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."
 

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%
Financial Services Firm
10%
Construction Company
9%
Marketing Services Firm
8%
Computer Software Company
13%
Financial Services Firm
11%
Manufacturing Company
10%
Healthcare 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: April 2026.
893,244 professionals have used our research since 2012.