Amazon EMR vs Oracle Big Data Appliance comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Warehouse category. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 71% of Oracle users who would recommend it.

Amazon EMR

Read 23 Amazon EMR reviews

1,423 Views
1,194 Comparison Views

86% willing to recommend

Oracle Big Data Appliance

Read 5 Oracle Big Data Appliance reviews

381 Views
251 Comparison Views

71% willing to recommend

Amazon EMR

Oracle Big Data Appliance

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon EMR and Oracle Big Data Appliance based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon EMR vs. Oracle Big Data Appliance Report (Updated: March 2025).

Buyer's Guide

Amazon EMR vs. Oracle Big Data Appliance

March 2025

Download the complete report

Helped 846,617 peers since 2012

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

Amazon EMR

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Hadoop (3rd), Cloud Data Warehouse (12th)

Oracle Big Data Appliance

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

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.

Read full review

Mohammed Hamad

AI & Data Engineering Lead at a tech services company with 10,001+ employees

Provides clean, centralized data

From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data Appliance by having one technology on their stack and working on it instead of continually changing the name or technologies or features. In addition, they could have a program to enable their partners to use this technology because right now, I have to have an expert to use the AI elements.

Read full review

Quotes from Members

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

Pros

"The solution is scalable."

"The solution helps us manage huge volumes of data."

"It has a variety of options and support systems."

"This is the best tool for hosts and it's really flexible and scalable."

"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."

"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."

"It allows users to access the data through a web interface."

"The initial setup is pretty straightforward."

More Amazon EMR pros

"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

"This is a comprehensive solution that is easy to deploy."

"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."

Cons

"The dashboard management could be better. Right now, it's lacking a bit."

"Modules and strategies should be better handled and notified early in advance."

"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."

"The product must add some of the latest technologies to provide more flexibility to the users."

"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."

"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."

"There is room for improvement in pricing."

More Amazon EMR cons

"The product should be simplified for the average user."

"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."

Pricing and Cost Advice

"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."

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

"Amazon EMR's price is reasonable."

"The price of the solution is expensive."

"Amazon EMR is not very expensive."

"The cost of Amazon EMR is very high."

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

"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

"Oracle's prices are too high compared to others in the market."

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

846,617 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

13%

Manufacturing Company

Educational Organization

Financial Services Firm

31%

Computer Software Company

15%

Government

10%

University

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?

The cost of Amazon EMR is a little bit expensive, especially considering the support package, which includes a gold package.

See all answers

What needs improvement with Amazon EMR?

Spark jobs take longer on Amazon EMR compared to previous experiences. This aspect could be improved to make them more efficient.

See all answers

Ask a question

Earn 20 points

Comparisons

Snowflake vs Amazon EMR

Compared 38% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 28% of the time

Amazon Redshift vs Amazon EMR

Compared 8% of the time

Apache Spark vs Amazon EMR

Compared 7% of the time

AWS Lake Formation vs Amazon EMR

Compared 6% of the time

More Amazon EMR Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 73% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 27% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Amazon EMR

April 2025

Download Amazon EMR product report

Buyer's Guide

Data Warehouse

April 2025

Download Oracle Big Data Appliance product report

Also Known As

Amazon Elastic MapReduce

No data available

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)

Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, visit Oracle.com

Oracle

Sample Customers

Yelp

Caixa Bank

Buyer's Guide

Amazon EMR vs. Oracle Big Data Appliance

March 2025

Free Report: Amazon EMR vs. Oracle Big Data Appliance

Find out what your peers are saying about Amazon EMR vs. Oracle Big Data Appliance and other solutions. Updated: March 2025.

DOWNLOAD NOW

846,617 professionals have used our research since 2012.

See our Amazon EMR vs. Oracle Big Data Appliance report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.