Amazon EMR vs Oracle Big Data Appliance comparison

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Amazon Web Services (AWS) Logo
2,342 views|2,016 comparisons
85% willing to recommend
Oracle Logo
761 views|587 comparisons
71% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: April 2024).
770,616 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It allows users to access the data through a web interface.""The solution is scalable.""Amazon EMR is a good solution that can be used to manage big data.""This is the best tool for hosts and it's really flexible and scalable.""Amazon EMR's most valuable features are processing speed and data storage capacity.""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.""The project management is very streamlined."

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

More Oracle Big Data Appliance Pros →

Cons
"The most complicated thing is configuring to the cluster and ensure it's running correctly.""The legacy versions of the solution are not supported in the new versions.""There is no need to pay extra for third-party software.""There is room for improvement in pricing.""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.""Modules and strategies should be better handled and notified early in advance.""The initial setup was time-consuming.""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."

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"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.""It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""The product should be simplified for the average user."

More Oracle Big Data Appliance Cons →

Pricing and Cost Advice
  • "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 cost of Amazon EMR is very high."
  • "The price of the solution is expensive."
  • "Amazon EMR's price is reasonable."
  • "There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
  • "There is no need to pay extra for third-party software."
  • "Amazon EMR is not very expensive."
  • "The product is not cheap, but it is not expensive."
  • More Amazon EMR Pricing and Cost Advice →

  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon EMR is a good solution that can be used to manage big data.
    Top Answer: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.
    Top Answer: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.
    Top Answer: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… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    Ranking
    8th
    Views
    2,342
    Comparisons
    2,016
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    14th
    out of 35 in Data Warehouse
    Views
    761
    Comparisons
    587
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Learn More
    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.

    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

    Sample Customers
    Yelp
    Caixa Bank
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Media Company18%
    Wholesaler/Distributor18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company10%
    University8%
    Government7%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise13%
    Large Enterprise65%
    Buyer's Guide
    Cloud Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: April 2024.
    770,616 professionals have used our research since 2012.

    Amazon EMR is ranked 8th in Cloud Data Warehouse with 20 reviews while Oracle Big Data Appliance is ranked 14th in Data Warehouse with 5 reviews. Amazon EMR is rated 7.8, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Microsoft Azure Synapse Analytics and Teradata.

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    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.