Amazon EMR vs Oracle Big Data Appliance comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Warehouse category. Additionally, 83% 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 25 Amazon EMR reviews

1,599 Views
831 Comparison Views

83% willing to recommend

Oracle Big Data Appliance

Read 6 Oracle Big Data Appliance reviews

544 Views
441 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: December 2025).

Buyer's Guide

Amazon EMR vs. Oracle Big Data Appliance

December 2025

Download the complete report

Helped 881,082 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

7.0

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 (14th)

Featured Reviews

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.

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reviewer1031826

Analytics Lead at a tech vendor with 10,001+ employees

Platinum partnership leverages advanced storage and fosters seamless data integration

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 than even one-fourth or one-fifth of the Oracle price. For my side, the last time I worked with Oracle was in '21, '22. The price is a challenge that they have to look after. From the storage and data management perspective, I cannot recall anything that they have to improve, but they have to improve the visualization part significantly because they offer Oracle BI, which is an extremely not-matured application.

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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

"The security of the managed workflow and the managed services are the best features for us. Since we inherited their security model and it's all managed services, those are the key benefits for our clients."

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

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

"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."

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

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

"The project management is very streamlined."

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

More Amazon EMR pros

"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."

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

"The best feature of Oracle Big Data Appliance, from a price perspective for the storage, is because they have technology called the ZFS technology; it offers huge storage with a decent price."

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

Cons

"I feel some lack of functionality in Amazon EMR."

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

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

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

"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."

"In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available."

"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 room for improvement in pricing."

More Amazon EMR cons

"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."

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

Pricing and Cost Advice

"The cost of Amazon EMR is very high."

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

"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."

"Amazon EMR's price is reasonable."

"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 price of the solution is expensive."

"Amazon EMR is not very expensive."

More Amazon EMR pricing and cost advice

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

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Educational Organization

13%

Computer Software Company

Healthcare 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	12

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

Questions from the Community

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

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

See all answers

What needs improvement with Amazon EMR?

I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

See all answers

What advice do you have for others considering Amazon EMR?

I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.

See all answers

What needs improvement with Oracle Big Data Appliance?

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 23% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 12% of the time

Apache Spark vs Amazon EMR

Compared 8% of the time

Amazon Redshift vs Amazon EMR

Compared 8% of the time

Cloudera Data Platform vs Amazon EMR

Compared 6% of the time

More Amazon EMR Competitors

Oracle Exadata vs Oracle Big Data Appliance

Compared 30% of the time

IBM Integrated Analytics System vs Oracle Big Data Appliance

Compared 18% of the time

Teradata vs Oracle Big Data Appliance

Compared 15% of the time

Apache Hadoop vs Oracle Big Data Appliance

Compared 14% of the time

SAP Business Warehouse vs Oracle Big Data Appliance

Compared 13% of the time

More Oracle Big Data Appliance Competitors

Product Reports

Buyer's Guide

Amazon EMR

January 2026

Download Amazon EMR product report

Buyer's Guide

Data Warehouse

January 2026

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

December 2025

Free Report: Amazon EMR vs. Oracle Big Data Appliance

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