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Most Helpful Review
Find out what your peers are saying about Apache Hadoop vs. Oracle Database Appliance and other solutions. Updated: November 2020.
447,228 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 performance of the system is the solution's most valuable aspect. In combination with the database, it gives perfect results. It's a better system than using other kinds of integrated systems. In general, the ODA control is much simpler to use and offers up the best performance.""The solution is simple to use and easy to maintain.""The Oracle database is able to get the data, process it, and return it to the company's CEO's and CFO's within a single day, and thus they are able to find out yesterday's P and L by today. It has drastically reduced the amount and time of processing from seven days to one day.""The most valuable feature is the performance.""The database is solid.""The solution is pretty automated, which takes out the possibility of human error."

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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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"Technical support is not so great. It could be much better. The maintenance, for an enterprise system, isn't so great. It's also extremely expensive.""If we were able to use Oracle Database to create mobile apps, that would be great. I don't know multiple languages, like Java, etc. I need to learn a separate language, right now in order to do this.""In terms of what can be be improved, I'd say Artificial Intelligence, AI. It would be really helpful if AI was incorporated within the solution.""We would like the ability to add more storage without having to upgrade to Oracle Exadata.""Oracle could improve its capacity for built-in visualization.""The product is quite complex to set up, initially. It would be ideal if it was simpler."

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

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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.
Top Answer: The solution is simple to use and easy to maintain.
Top Answer: The testing aspect of the solution could be improved. Right now, it's done by us, but if they'd improve it with tools that would make things easier. If we were able to use Oracle Database to create… more »
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
8th
out of 30 in Data Warehouse
Views
4,190
Comparisons
2,792
Reviews
6
Average Words per Review
562
Avg. Rating
8.5
Popular Comparisons
Compared 21% of the time.
Compared 16% of the time.
Compared 11% of the time.
Also Known As
X5-2
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Apache
Oracle
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.

The Oracle Database Appliance saves time and money by simplifying deployment, maintenance, and support of database solutions for organizations of every size. Optimized for the world's most popular database--Oracle Database--it integrates software, compute, storage, and network resources to deliver database services for a wide range of custom and packaged online transaction processing (OLTP), in-memory database, and data warehousing applications. All hardware and software components are engineered and supported by Oracle, offering customers a reliable and secure system with built-in automation and best practices. In addition to accelerating the time to value when deploying database solutions, the Oracle Database Appliance offers flexible Oracle Database licensing options and reduces operational expenses associated with maintenance and support. 

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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 LabLifeLock, Incarlopsa, Al Yusur Industrial Contracting
Top Industries
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider17%
Financial Services Firm11%
Media Company7%
REVIEWERS
Comms Service Provider33%
Financial Services Firm22%
Transportation Company11%
Marketing Services Firm11%
VISITORS READING REVIEWS
Computer Software Company50%
Comms Service Provider17%
Financial Services Firm5%
Government4%
Company Size
REVIEWERS
Small Business33%
Midsize Enterprise22%
Large Enterprise44%
REVIEWERS
Small Business42%
Midsize Enterprise16%
Large Enterprise42%
Find out what your peers are saying about Apache Hadoop vs. Oracle Database Appliance and other solutions. Updated: November 2020.
447,228 professionals have used our research since 2012.
Apache Hadoop is ranked 4th in Data Warehouse with 9 reviews while Oracle Database Appliance is ranked 8th in Data Warehouse with 6 reviews. Apache Hadoop is rated 7.6, while Oracle Database Appliance is rated 8.6. 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 Database Appliance writes "Affordable, user-friendly, and offers good technical support". Apache Hadoop is most compared with Snowflake, VMware Tanzu Greenplum, Oracle Exadata and Vertica, whereas Oracle Database Appliance is most compared with Oracle Exadata, VMware Tanzu Greenplum, SAP BW4HANA, IBM Integrated Analytics System and IBM Netezza Performance Server. See our Apache Hadoop vs. Oracle Database Appliance report.

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