Amazon EMR vs Oracle Big Data Appliance comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Warehouse category. Additionally, 82% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 75% of Oracle users who would recommend it.

Amazon EMR

Read 24 Amazon EMR reviews

1,621 Views
892 Comparison Views

82% willing to recommend

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

418 Views
326 Comparison Views

75% willing to recommend

Amazon EMR

Oracle Big Data Appliance

Comparison Buyer's Guide

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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: September 2025).

Buyer's Guide

Amazon EMR vs. Oracle Big Data Appliance

September 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:

Categories and Ranking

Amazon EMR

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Hadoop (3rd), Cloud Data Warehouse (13th)

Oracle Big Data Appliance

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (13th)

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

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

"The initial setup is straightforward."

"Amazon EMR provides out-of-the-box functionality because we can deploy and get Spark functionality over Hadoop."

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

"Amazon EMR's most valuable features are processing speed and data storage capacity."

"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."

"The solution is scalable."

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

More Amazon EMR pros

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

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

"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

"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."

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

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

"The problem for us is it starts very slow."

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

"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."

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

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

More Amazon EMR cons

"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."

"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."

Pricing and Cost Advice

"Amazon EMR's price is reasonable."

"Amazon EMR is not very expensive."

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

"The price of the solution is 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."

"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."

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

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

More Amazon EMR pricing and cost advice

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

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869,566 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

23%

Educational Organization

12%

Computer Software Company

12%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	6

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 cluster resources, data volumes, EC2 ( /products/amazon-ec2-reviews ) instances...

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-reviews ) buckets, cluster provisioning, scaling, termination, security, and integrati...

See all answers

What needs improvement with Oracle Big Data Appliance?

Areas of Oracle Big Data Appliance that can be improved include the pricing perspective because nowadays they have competition. We have so many technologies that have come to the market for less th...

See all answers

What is your primary use case for Oracle Big Data Appliance?

The typical use case for Oracle Big Data Appliance, which my clients use, is usually that the customer who has an Oracle application uses it because they can leverage the storage part. I don't need...

See all answers

Comparisons

Snowflake vs Amazon EMR

Compared 32% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 21% of the time

Apache Spark vs Amazon EMR

Compared 9% of the time

Amazon Redshift vs Amazon EMR

Compared 9% 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 78% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 22% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Amazon EMR

October 2025

Download Amazon EMR product report

Buyer's Guide

Data Warehouse

October 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

September 2025

Free Report: Amazon EMR vs. Oracle Big Data Appliance

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