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Apache Hadoop vs Oracle Big Data Appliance comparison

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Comparison Buyer's Guide
Executive Summary

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

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

To learn more, read our detailed Apache Hadoop vs. Oracle Big Data Appliance report (Updated: September 2022).
632,611 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
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""The scalability of Apache Hadoop is very good.""The performance is pretty good.""One valuable feature is that we can download data.""The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable.""Hadoop is extensible — it's elastic.""What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."

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"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."

More Oracle Big Data Appliance Pros →

Cons
"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it.""Real-time data processing is weak. This solution is very difficult to run and implement.""Hadoop's security could be better.""I think more of the solution needs to be focused around the panel processing and retrieval of data.""The integration with Apache Hadoop with lots of different techniques within your business can be a challenge.""The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop.""The solution is very expensive.""From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."

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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."

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Pricing and Cost Advice
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • More Apache Hadoop 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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    632,611 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
    Top Answer:I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.
    Top Answer:The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop.
    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
    5th
    out of 30 in Data Warehouse
    Views
    6,014
    Comparisons
    5,248
    Reviews
    8
    Average Words per Review
    473
    Rating
    7.9
    13th
    out of 30 in Data Warehouse
    Views
    1,212
    Comparisons
    1,044
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Comparisons
    Learn More
    Overview
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    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

    Offer
    Learn more about Apache Hadoop
    Learn more about Oracle Big Data Appliance
    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Caixa Bank
    Top Industries
    REVIEWERS
    Financial Services Firm45%
    Comms Service Provider36%
    Consumer Goods Company9%
    Government9%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm19%
    Comms Service Provider12%
    Energy/Utilities Company6%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider14%
    Financial Services Firm14%
    Government6%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise31%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise17%
    Large Enterprise65%
    Buyer's Guide
    Data Warehouse
    September 2022
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: September 2022.
    632,611 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 9 reviews while Oracle Big Data Appliance is ranked 13th in Data Warehouse with 1 review. Apache Hadoop is rated 7.8, while Oracle Big Data Appliance is rated 8.0. The top reviewer of Apache Hadoop writes "Has good processing power and speed and is capable of handling large volumes of data and doing online analysis". On the other hand, the top reviewer of Oracle Big Data Appliance writes "Provides clean, centralized data ". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, Oracle Exadata, Azure Data Factory and Amazon Redshift, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Teradata, Microsoft Azure Synapse Analytics, IBM Integrated Analytics System and IBM Netezza Performance Server.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all 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.