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Compare Apache Hadoop vs. Oracle Exadata

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Apache Hadoop Logo
7,318 views|6,077 comparisons
Oracle Exadata Logo
15,460 views|11,335 comparisons
Featured Review
Find out what your peers are saying about Apache Hadoop vs. Oracle Exadata and other solutions. Updated: November 2021.
554,382 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so.""The performance is pretty good.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""Hadoop is extensible — it's elastic.""The most valuable feature is the database.""It's good for storing historical data and handling analytics on a huge amount of data."

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"Oracle has reliable solutions and this one is no different.""The most valuable feature is the time to solution.""The offloading of data to the SIM is a valuable feature.""A very stable solution, which we have hardly any problems with.""The data replication is very good.""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.""This product can noticeably enhance performance of contextual Oracle databases.""The business intelligence is very good."

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Cons
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""It would be good to have more advanced analytics tools.""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.""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.""Hadoop's security could be better.""It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."

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"The improvement could be made on the hardware level as the habit in the industry is to go better and faster and larger with every iteration.""The solution could always be more stable and more reliable.""The initial setup process is very difficult and extremely complex.""There is one aspect to Exadata that I dislike, and that's the inconsistency with other databases. When you try to get Exadata to function with another type of database like SQL, or others, there should be reliable and consistent operation. When this is improved on, we should start to see more applications growing the market.""It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions.""Tech support sometimes takes some time to identify and rectify issues.""The integration with third-party applications regarding access management security could be better.""Oracle Exadata compatibility with the analytics could be better and the OBIEE could improve. Oracle BI to Exadata needs to be improved. Even if the full analytics practice for Oracle should be improved and when compared with other solutions it is weak."

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Pricing and Cost Advice
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"Oracle is always costly but it's fine.""It is an expensive product and you pay more for certain performance enhancements.""The price of the solution has been expensive to implement.""The licensing can be a bit expensive because you need to have certain tools enabled that require them.""I did note that Oracle does tend to internally oversize things especially if they want to fill up a budget, and hence third-party oversight is essential.""All things considered, the price of this product is fairly high, as is always the case with Oracle.""The cost of the product could be improved.""The majority of our customers are in government or big enterprises, and the projects that we sell come out to several million USD. With this amount of money on the table, it's always better to have an experienced team of consultants, who know Exadata very well, handle the implementation."

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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: Hadoop is extensible — it's elastic.
Top Answer: Hadoop's security could be better.
Top Answer: The performance on the databases is good.
Top Answer: When you talk about the pricing, the pricing is on the higher side. That said, if you're looking for good performance, then you definitely need to pay the price. Therefore, the price is reasonable.
Top Answer: The setup is a little bit complex. We would like to see the installation part get easier. Also, this installation is only for the OEM. They need partners. Some liberty should be given to the customer… more »
Ranking
7th
out of 30 in Data Warehouse
Views
7,318
Comparisons
6,077
Reviews
7
Average Words per Review
385
Rating
7.6
2nd
out of 30 in Data Warehouse
Views
15,460
Comparisons
11,335
Reviews
21
Average Words per Review
651
Rating
8.8
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 Database Machine is a modern framework, engineered to run databases and to scale out database servers.

The main benefit of Exadata is 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 solving poor performances of old database architecture.

The Oracle Exadata Database Machine 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. It is ideal for companies looking to build up their infrastructure from scratch.

For more information on Oracle Exadata Database Machine, visit Oracle.com

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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
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider18%
Financial Services Firm13%
Energy/Utilities Company5%
REVIEWERS
Financial Services Firm28%
Comms Service Provider15%
Insurance Company13%
Retailer9%
VISITORS READING REVIEWS
Computer Software Company37%
Comms Service Provider14%
Financial Services Firm12%
Energy/Utilities Company4%
Company Size
REVIEWERS
Small Business40%
Midsize Enterprise20%
Large Enterprise40%
REVIEWERS
Small Business27%
Midsize Enterprise12%
Large Enterprise61%
Find out what your peers are saying about Apache Hadoop vs. Oracle Exadata and other solutions. Updated: November 2021.
554,382 professionals have used our research since 2012.

Apache Hadoop is ranked 7th in Data Warehouse with 7 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 21 reviews. Apache Hadoop is rated 7.6, while Oracle Exadata is rated 8.8. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of Oracle Exadata writes "High performing and reliable work environment". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, VMware Tanzu Greenplum, Teradata and Vertica, whereas Oracle Exadata is most compared with Teradata, Oracle Database Appliance, Snowflake, IBM Netezza Performance Server and Microsoft Azure Synapse Analytics. See our Apache Hadoop vs. Oracle Exadata report.

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.