Apache Hadoop vs Oracle Exadata comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
2,765 views|2,378 comparisons
Oracle Logo
9,164 views|6,783 comparisons
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).
765,386 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
"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 most valuable feature is the database.""The ability to add multiple nodes without any restriction is the solution's most valuable aspect.""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.""The best thing about this solution is that it is very powerful and very cheap.""Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform.""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.""Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."

More Apache Hadoop Pros →

"The most valuable feature of Oracle Exadata is its capabilities for storing and processing data. It is very good for our domain.""The ease of setup is an eight out of ten.""We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA.""The data replication is very good.""Exadata's best features are its performance during redo logging and the elasticity of the database handling.""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.""It has improved the performance, now we run with more performance cores with less CPU to attend all the database demands. Reducing Time to Market, increase our ability to face the competition with speed and low cost.""The tool's performance is good."

More Oracle Exadata Pros →

Cons
"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 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.""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 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.""The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."

More Apache Hadoop Cons →

"The solution's pricing is very high.""License or upgrade management can be difficult and time consuming because it requires login to a separate console.""The initial setup process is very difficult and extremely complex.""There's room for improvement in terms of deployment, as it could be made faster and more user-friendly.""Certification should also be improved. Today, Oracle doesn't certify applications with engineered systems.""The solution lacks a visualized console.""We have experienced some issues with processing unstructured data on Exadata. This is an important requirement for our AIML based use case. Reactive analytics data can not be prepared easily in Oracle Exadata.""I liked Spark, but it was discontinued when Exadata L6 came back. I loved it, and I wish they would bring back Spark integration."

More Oracle Exadata Cons →

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 →

    report
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    765,386 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Hadoop File System is compatible with almost all the query engines.
    Top Answer:The tool provides functionalities to deal with data skewness or a diverse set of data. There are some configurations that it usually provides. In certain cases, the configurations for dealing with… 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%
    University6%
    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 Business35%
    Midsize Enterprise24%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business15%
    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.
    765,386 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 31 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. Apache Hadoop is rated 7.8, while Oracle Exadata is rated 8.4. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of Oracle Exadata writes "Very fast, scalable, stable, and demonstrates good performance". 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.