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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
6th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Data Management Platforms (DMP) (4th)
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 June 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Cloudera Data Platform is 3.7%, up from 0.5% compared to the previous year. The mindshare of Reltio Cloud is 9.4%, down from 17.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Reltio Cloud9.4%
Cloudera Data Platform3.7%
Other86.9%
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

"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."
"Hortonworks is 100% Open Source."
"There’s not only one, the all-stack of Hadoop is valuable, the distributed file system HDFS, Spark, Kafka, HBase, etc. Hortonworks has certainly got the most up-to-date version of each component of Hadoop."
"The data platform is pretty neat. The workflow is also really good."
"Hortonworks is the best, comparing all three flavors."
"It's the one and only complete open source big data platform Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc."
"The upgrades and patches must come from Hortonworks."
"Hortonworks should not be expensive at all to those looking into using it."
"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."
"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."
"It is very easy to learn. The"
"The cloud feature is very beneficial, and the scalability performance feature is excellent."
"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."
"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."
 

Cons

"There have been some governance initiatives, but they are far from production ready."
"For on-premise use, I would not recommend Cloudera Data Platform as it is expensive and complicated to upgrade."
"We have had problems with the backup and with services that require a disaster site."
"I have not seen enough innovation in Cloudera Data Platform, particularly in support for machine learning."
"Initially, we went with Cloudera due to it being a popular choice in the market, etc, then realized it was bad choice."
"The setup of Hadoop was easy thanks to Ambari, but installing the security components was complex."
"Customer Service: 3/10 Technical Support: 3/10"
"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."
"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."
"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."
"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."
"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."
"Initially, the UI was limited in features."
"What could be improved about Reltio Cloud was minimal."
"The solution's UI could be enhanced, and its record filtering could be expanded."
"We need manual data modeling and configuration to tailor the platform to our requirements."
 

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
15%
Construction Company
11%
Financial Services Firm
11%
Marketing Services Firm
7%
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
12%
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: May 2026.
900,644 professionals have used our research since 2012.