Amazon EMR vs Cloudera Data Platform vs HPE Ezmeral Data Fabric comparison

The compared Amazon Web Services (AWS) and Cloudera solutions aren't in the same category. Amazon Web Services (AWS) is ranked #3 in H , with an average rating of 8.3, and holds a 13.7% mindshare in the category. Cloudera is ranked #4 in DMPD , with an average rating of 7.8. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 87% of Cloudera users who would recommend it.

Amazon EMR

Read 23 Amazon EMR reviews

734 Views
593 Comparison Views

86% willing to recommend

Cloudera Data Platform

Read 27 Cloudera Data Platform reviews

73 Views
16 Comparison Views

87% willing to recommend

HPE Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

1,021 Views
528 Comparison Views

100% willing to recommend

Amazon EMR

Cloudera Data Platform

HPE Ezmeral Data Fabric

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Executive Summary

We performed a comparison between Amazon EMR, Cloudera Data Platform, and HPE Ezmeral Data Fabric based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.

To learn more, read our detailed Hadoop Report (Updated: June 2025).

Buyer's Guide

Hadoop

June 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Featured Reviews

Prashant Singh

Vice President -Product Management at Paytm

Seamless data integration enhances reporting efficiency and an easy setup

Amazon EMR has multiple connectors that can connect to various data sources. The service charges are based on processing only, depending on the resources used, which can help save money. It is easy to integrate with other services for storage, allowing data to be shifted to cheaper storage based on usage.

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Miodrag-Stanic

Senior Architect at a comms service provider with 1,001-5,000 employees

Distributed computing improves data processing while upgrade complexity needs addressing

There are challenges with upgrading or updating various services like Spark, Impala, and Hive on on-premise and bare metal solutions. We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services. We also wish to implement lakehouse capabilities with Iceberg or Delta Lake frameworks.

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Hamid M. Hamid

Data architect at Banking Sector

A stable and scalable tool that serves as a great database

The initial setup of HPE Ezmeral Data Fabric is easy. I am not sure how long it took to deploy HPE Ezmeral Data Fabric, but I haven't heard about any disadvantages when it comes to the time taken for the deployment. I remember that one of our company's clients who had purchased the product never mentioned the product's setup phase being complex. One of the drawbacks with HPE Ezmeral Data Fabric stems from the fact that the product's upgrade was not straightforward, and it was a complex process since one of the teams in my company who deals with the tool found the upgrade part to be tough. The solution is deployed on an on-premises model. My company has two dedicated staff members to look after the deployment and maintenance phases of HPE Ezmeral Data Fabric.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Amazon EMR is a good solution that can be used to manage big data."

"The initial setup is straightforward."

"The solution is pretty simple to set up."

"The project management is very streamlined."

"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."

"I rate Amazon EMR as ten out of ten."

"Amazon EMR has multiple connectors that can connect to various data sources."

"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."

More Amazon EMR pros

"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."

"We use it for data science activities."

"Distributed computing, secure containerization, and governance capabilities are the most valuable features."

"The scalability is the key reason why we are on this platform."

"Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."

"Ambari Web UI: user-friendly."

"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."

"It is a scalable platform."

More Cloudera Data Platform pros

"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."

"The model creation was very interesting, especially with the libraries provided by the platform."

"I like the administration part."

"It is a stable solution...It is a scalable solution."

Cons

"The legacy versions of the solution are not supported in the new versions."

"Spark jobs take longer on Amazon EMR compared to previous experiences."

"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."

"There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB."

"There is no need to pay extra for third-party software."

"The solution can become expensive if you are not careful."

"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."

"The product's features for storing data in static clusters could be better."

More Amazon EMR cons

"The cost of the solution is high and there is room for improvement."

"It's at end of life and no longer will there be improvements."

"I would like to see more support for containers such as Docker and OpenShift."

"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."

"Deleting any service requires a lot of clean up, unlike Cloudera."

"The version control of the software is also an issue."

"For on-premise use, I would not recommend Cloudera Data Platform as it is expensive and complicated to upgrade."

"It would also be nice if there were less coding involved."

More Cloudera Data Platform cons

"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."

"The product is not user-friendly."

"The deployment could be faster. I want more support for the data lake in the next release."

"HPE Ezmeral Data Fabric is not compatible with third-party tools."

"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."

Pricing and Cost Advice

"The product is not cheap, but it is not expensive."

"Amazon EMR's price is reasonable."

"Amazon EMR is not very expensive."

"I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."

"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."

"The cost of Amazon EMR is very high."

"The price of the solution is expensive."

"You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."

More Amazon EMR 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"

"HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."

"There is a need for my company to pay for the licensing costs of the solution."

"The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

13%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

14%

Real Estate/Law Firm

12%

Computer Software Company

10%

Performing Arts

Financial Services Firm

20%

Computer Software Company

14%

Comms Service Provider

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon EMR?

Amazon EMR is a good solution that can be used to manage big data.

See all answers

What is your experience regarding pricing and costs for Amazon EMR?

Compared to others, Amazon seems efficient and is considered good for Big Data workloads. Costs are involved based on...

See all answers

What needs improvement with Amazon EMR?

There is room for improvement with respect to retries, handling the volume of data on S3 ( /products/amazon-s3-review...

See all answers

What do you like most about Hortonworks Data Platform?

Distributed computing, secure containerization, and governance capabilities are the most valuable features.

See all answers

What is your experience regarding pricing and costs for Hortonworks Data Platform?

The pricing model for Cloudera Data Platform is complex and has increased significantly compared to CDH. Initially, C...

See all answers

What needs improvement with Hortonworks Data Platform?

Cloudera Data Platform should include additional capabilities and features similar to those offered by other data man...

See all answers

What do you like most about HPE Ezmeral Data Fabric?

It is a stable solution...It is a scalable solution.

See all answers

What needs improvement with HPE Ezmeral Data Fabric?

There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabr...

See all answers

What is your primary use case for HPE Ezmeral Data Fabric?

The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data wi...

See all answers

Comparisons

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Compared 33% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 26% of the time

Apache Spark vs Amazon EMR

Compared 9% of the time

Amazon Redshift vs Amazon EMR

Compared 8% of the time

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IBM Spectrum Computing vs Cloudera Data Platform

Compared 23% of the time

Palantir Foundry vs Cloudera Data Platform

Compared 15% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Cloudera Data Platform

Compared 14% of the time

Cloudera Distribution for Hadoop vs Cloudera Data Platform

Compared 13% of the time

More Cloudera Data Platform Competitors

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 58% of the time

Informatica Big Data Parser vs HPE Ezmeral Data Fabric

Compared 8% of the time

IBM Analytics Engine vs HPE Ezmeral Data Fabric

Compared 7% of the time

Spark SQL vs HPE Ezmeral Data Fabric

Compared 7% of the time

More HPE Ezmeral Data Fabric Competitors

Product Reports

Buyer's Guide

Amazon EMR

June 2025

Download Amazon EMR product report

Buyer's Guide

Cloudera Data Platform

June 2025

Download Cloudera Data Platform product report

Buyer's Guide

HPE Ezmeral Data Fabric

June 2025

Download HPE Ezmeral Data Fabric product report

Also Known As

Amazon Elastic MapReduce

No data available

MapR, MapR Data Platform

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

Amazon Web Services (AWS)

Cloudera Data Platform offers a powerful fusion of Hadoop technology and user-centric tools, enabling seamless scalability and open-source flexibility. It supports large-scale data operations with tools like Ranger and Cloudera Data Science Workbench, offering efficient cluster management and containerization capabilities.

Designed to support extensive data needs, Cloudera Data Platform encompasses a comprehensive Hadoop stack, which includes HDFS, Hive, and Spark. Its integration with Ambari provides user-friendliness in management and configuration. Despite its strengths in scalability and security, Cloudera Data Platform requires enhancements in multi-tenant implementation, governance, and UI, while attribute-level encryption and better HDFS namenode support are also needed. Stability, especially regarding the Hue UI, financial costs, and disaster recovery are notable challenges. Additionally, integration with cloud storage and deployment methods could be more intuitive to enhance user experience, along with more effective support and community engagement.

What are the key features?

Comprehensive Hadoop Stack: Integrates HDFS, Hive, Spark for large-scale data operations.
User-Friendly Interface: Managed through Ambari, simplifying configuration.
Seamless Scalability: Efficiently handles growing data demands with ease.
Open-Source Flexibility: Offers a customizable platform for specific needs.
Security Tools: Includes Ranger for advanced data protection measures.
Data Science Workbench: Provides a robust platform for data modeling.
Cluster Management: Efficient deployment and governance capabilities.
Containerization Support: Facilitates modern data processing environments.

What benefits and ROI should users expect?

Data Storage Flexibility: Handles diverse data types, enhancing storage solutions.
Advanced Security: Features tailored for data protection and compliance.
Scalability: Cost-efficient management of expanding data requirements.
Operational Efficiency: Streamlined processes through effective tools.
Data Science Integration: Supports building and deploying models efficiently.
Industry Versatility: Applicable across finance, healthcare, and more.

Cloudera Data Platform is implemented extensively across industries like hospitality for data science activities, including managing historical data. Its adaptability extends to operational analytics for sectors like oil & gas, finance, and healthcare, often enhanced by Hortonworks Data Platform for data ingestion and analytics tasks.

Cloudera

Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

Hewlett Packard Enterprise

Sample Customers

Yelp

Information Not Available

Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: June 2025.

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860,168 professionals have used our research since 2012.