Compare Apache Hadoop vs. Oracle Exadata

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Apache Hadoop Logo
12,625 views|10,548 comparisons
Oracle Exadata Logo
20,048 views|13,520 comparisons
Most Helpful Review
Find out what your peers are saying about Apache Hadoop vs. Oracle Exadata and other solutions. Updated: November 2020.
447,718 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
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics.""The best thing about this solution is that it is very powerful and very cheap.""What comes with the standard setup is what we mostly use, but Ambari is the most important.""The ability to add multiple nodes without any restriction is the solution's most valuable aspect.""It's good for storing historical data and handling analytics on a huge amount of data.""The most valuable feature is the database.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""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."

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"The most valuable feature is that you have the same familiar environment of an Oracle database but with the additional performance you get from this architecture.""Compression is a great feature, where one can really save a lot of storage.""Exadata is also a very stable environment. Their Smart Scan feature is great for every banking environment and financial institutions willing to implement it.""The performance of the data is the most important part.""This product can noticeably enhance performance of contextual Oracle databases.""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 most valuable feature is the time to solution.""Oracle Exadata's performance is one of its best features. We very satisfied with it."

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Cons
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.""The upgrade path should be improved because it is not as easy as it should be.""In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""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.""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.""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."

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"It's too expensive per terabyte. It's complex.""The technical support is in need of improvement.""It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions.""The management monitoring tools are quite important and an area that needs some improvement.""It is difficult to evaluate return-on-investment because of the way billing is handled for the product. This should be improved by oracle.""I believe Oracle must improve its procedure to support the clients. The customer Ready Service must provide more use cases and benchmarks of their infrastructure to support client design decisions. Oracle must audit their partners regularly to guarantee they provide quality service even after been passed on partnership examination.""There is room for improvement with the handling of the Temp IO, which is often used for JOIN statements.""There is a feature for security, but it is not included in the first purchase of this solution. That means if you need to increase the security, you need to buy the security feature which doesn't come by default on these solutions."

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Pricing and Cost Advice
"This is a low cost and powerful solution."

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"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.""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."

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Questions from the Community
Top Answer: Apache Hadoop is for data lake use cases. But getting data out of Hadoop for meaningful analytics is indeed need quite an amount of work. by either using spark/Hive/presto and so on. The way i look at… more »
Top Answer: SQreamDB is a GPU DB. It is not suitable for real-time oltp of course. Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)… more »
Top Answer: The most valuable features are powerful tools for ingestion, as data is in multiple systems.
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Ranking
4th
out of 30 in Data Warehouse
Views
12,625
Comparisons
10,548
Reviews
9
Average Words per Review
425
Avg. Rating
7.7
2nd
out of 30 in Data Warehouse
Views
20,048
Comparisons
13,520
Reviews
11
Average Words per Review
769
Avg. Rating
8.9
Popular Comparisons
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Apache
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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 Company35%
Comms Service Provider17%
Financial Services Firm11%
Media Company7%
REVIEWERS
Financial Services Firm26%
Insurance Company15%
Comms Service Provider13%
Retailer11%
VISITORS READING REVIEWS
Computer Software Company46%
Comms Service Provider14%
Financial Services Firm6%
Media Company6%
Company Size
REVIEWERS
Small Business33%
Midsize Enterprise22%
Large Enterprise44%
REVIEWERS
Small Business27%
Midsize Enterprise11%
Large Enterprise62%
Find out what your peers are saying about Apache Hadoop vs. Oracle Exadata and other solutions. Updated: November 2020.
447,718 professionals have used our research since 2012.
Apache Hadoop is ranked 4th in Data Warehouse with 9 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 11 reviews. Apache Hadoop is rated 7.6, while Oracle Exadata is rated 9.0. 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 Snowflake, VMware Tanzu Greenplum, Vertica, Teradata and SAP IQ, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, IBM Netezza Performance Server, Amazon Redshift 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.

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