Apache Hadoop vs Oracle Exadata comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Hadoop and Oracle Exadata 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 Exadata Report (Updated: March 2024).
763,955 professionals have used our research since 2012.
Q&A Highlights
Question: Which solution is better for setting up a data lake: Apache Hadoop or Oracle Exadata?
Answer: Hi, I will be very direct! Oracle EXADATA is an engineering system, designed for critical missions, has good processing and storage capacity, is easily scalable and being proprietary, and has a support team with great experience and availability, considering the criticality of Service in a Large Bank.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"What comes with the standard setup is what we mostly use, but Ambari is the most important.""Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial.""The scalability of Apache Hadoop is very good.""​​Data ingestion: It has rapid speed, if Apache Accumulo is used.""As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R.""The performance is pretty good.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."

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"This product can noticeably enhance performance of contextual Oracle databases.""The data replication is very good.""Compression is a great feature, where one can really save a lot of storage.""Oracle Exadata has very good hardware.""We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA.""The storage capacity and the performance of Oracle Exadata are good. When comparing the performance to other technologies it is very good. I am satisfied with the management of the solution.""Before using this machine, we took no less than two days to run a report. Now, we can do it within five hours. So, there is a lot of improvement.""Exadata is a fantastic machine. Two features stand out. The first is the resource input/output management tool that allows you to manage the resources to the neck on the Exadata box."

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Cons
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.""The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks.""The solution is very expensive.""I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness.""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.""I would like to see more direct integration of visualization applications.""The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."

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"It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle.""A room for improvement in Oracle Exadata is that it's not very easy to use in a microservices environment. It's not easy to split databases, and if this was easier to do in Oracle Exadata, it would make the solution better. What I'd like to see in the next release of Oracle Exadata is for it to become more modular, so you can use it in a context where the data layer is spread between many independent services.""The solution could always be more stable and more reliable.""We had issues with system restoration.""The initial setup process is very difficult and extremely complex.""The technical support is in need of improvement.""One small area for improvement in Oracle Exadata is integration, particularly at the consolidated application level.""I would like to see more database features and maybe more archiving features, because we need to do data archiving."

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Pricing and Cost Advice
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "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."
  • "We just use the free version."
  • More Apache Hadoop Pricing and Cost Advice →

  • "In the sizing phase, you can also decide whether to license all cores, or reduce the number cores using capacity-on-demand features of Exadata, as well. This has a direct impact on licensing."
  • "The Initial investment price could use improvement"
  • "I think it's free."
  • "The price is very high."
  • "Exadata is an expensive tool, but, considering the ROI, it's worth going for the solution."
  • "Oracle is always costly but it's fine."
  • "It is an expensive product and you pay more for certain performance enhancements."
  • "All things considered, the price of this product is fairly high, as is always the case with Oracle."
  • More Oracle Exadata Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's open-source, so it's very cost-effective.
    Top Answer:The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support. And then there's the server issue. You have to create and… more »
    Top Answer:It is the best solution for OLTP and data warehousing.
    Top Answer:The solution’s cost is a little bit more than the traditional databases. Less cost would enable most customers to choose the product.
    Top Answer:Patching must be simplified. We have various levels of patching in the solution. Most of them are online, split into various components. A single way of patching would be better.
    Ranking
    5th
    out of 33 in Data Warehouse
    Views
    2,765
    Comparisons
    2,378
    Reviews
    10
    Average Words per Review
    539
    Rating
    8.0
    2nd
    out of 33 in Data Warehouse
    Views
    9,164
    Comparisons
    6,783
    Reviews
    21
    Average Words per Review
    494
    Rating
    8.7
    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 Exadata allows enterprises to run any Oracle Database workload with the highest performance, scale, availability, and security on fully compatible cloud and on-premises infrastructure. Exadata uses a scale-out design with unique optimizations that include persistent memory, SQL query offload, and built-in resource management to optimize performance for OLTP, analytics, machine learning, and mixed workloads running in consolidated environments. By running hundreds or thousands of optimized Autonomous Database and Exadata Database instances on Exadata Cloud or Cloud@Customer infrastructure, customers are able to minimize their infrastructure, reduce management, improve developer productivity, and lower total costs by up to 40%, as described in Wikibon’s analysis (PDF).

    The main benefit of Exadata is its speed. It hosts operating systems, CPU memory, and hard drives. It runs all types of databases, including online transaction systems, processors, and data warehouses, while remedying the poor performances of older databases.

    Oracle Exadata features a simple and fast database storage system that protects and backs up your critical data. It accelerates data warehouse performance for faster access to business information and data. It is the ideal database solution for companies looking to build up their infrastructure from scratch.

    Oracle Exadata Database Machine Key Benefits

    • Rapid, reliable, and scalable deployment: Exadata is the most cost-efficient and highest performance platform for running Oracle databases. Exadata’s deployment is very straightforward since the database servers, storage servers, and network are pre-configured, pre-tuned and pre-tested by Oracle experts. This ensures that all your components work seamlessly together. Any Oracle Database application can be seamlessly migrated to and from the Exadata Database Machine, with no changes to the original application.

    • Powerful, cutting-edge hardware: Exadata is the most versatile database platform. It uses powerful database servers and a scaled-out, intelligent storage layer.

    • Accelerate database processing: Exadata Storage Server implements a unique, highly efficient database-optimized storage infrastructure that enables Exadata’s unparalleled performance without any of the bottlenecks that traditional storage experiences. Each storage server contains CPU processors that are used to offload database processing. The CPUs in the storage servers do not replace database CPUs, but work alongside them to accelerate database workloads.

    Reviews from Real Users

    Oracle Exadata stands out among its competitors for a number of reasons. Two major ones are its robust performance and its wide variety of database features that make it a comprehensive database solution.

    Adriano S., an IT system integrator at a financial services firm, writes, "Oracle Exadata's performance is one of its best features. We are very satisfied with it. The previous equipment used to make a payment for all the government employees used to take at least two days for some of the transactions. Now, it will take hours to make the same amount of payments. Another thing is the flexibility to organize all our databases. We can use it with new features that come with this version of Oracle 19c, which is the container database. With container databases, we can work with many databases, organized, and segregated, and still access the functions and management, the things that most of the technical people like to have in place."

    Paulo X., a sales manager at LTA-RH Informatica, notes, "Regarding features, there are so many that we can offer to customers. When we sell Exadata Cloud, there are many options to choose from, especially when it comes to enterprise database options. In my experience, the main features that are appreciated are various ones like GPS and the assortment of security options."

    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    PayPal, EBS, Organic Food Retailer, Garmin, University of Minnesota, Major Semiconductor Company, Deutsche Bank, Starwood, Ziraat Bank, SK Telecom, and P&G.
    Top Industries
    REVIEWERS
    Financial Services Firm40%
    Comms Service Provider27%
    Hospitality Company7%
    Consumer Goods Company7%
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Computer Software Company10%
    Comms Service Provider6%
    Educational Organization6%
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider17%
    Insurance Company16%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company13%
    Manufacturing Company6%
    Energy/Utilities Company5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise24%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise75%
    REVIEWERS
    Small Business30%
    Midsize Enterprise9%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Apache Hadoop vs. Oracle Exadata
    March 2024
    Find out what your peers are saying about Apache Hadoop vs. Oracle Exadata and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 11 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 25 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata is rated 8.4. 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 Exadata writes "Exadata can significantly improve performance but there's a learning curve in a few key areas". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, Snowflake, Teradata and BigQuery, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and IBM Netezza Performance Server. See our Apache Hadoop vs. Oracle Exadata report.

    See our list of best 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.