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Most Helpful Review
Find out what your peers are saying about Apache Hadoop vs. Oracle Big Data Appliance and other solutions. Updated: May 2021.
511,307 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 best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases.""This is a comprehensive solution that is easy to deploy."

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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 seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""The product should be simplified for the average user."

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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: Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.
Top Answer: I don't have any concerns because each part of Hadoop has its use cases. To date, I haven't implemented a huge product or project using Hadoop, but on the level of POCs, it's fine. The community of… more »
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Ranking
3rd
out of 30 in Data Warehouse
Views
9,913
Comparisons
8,134
Reviews
10
Average Words per Review
426
Rating
7.7
15th
out of 30 in Data Warehouse
Views
1,130
Comparisons
909
Reviews
2
Average Words per Review
477
Rating
8.0
Popular Comparisons
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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 Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

For more information on Oracle Big Data Appliance, 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
Caixa Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider17%
Financial Services Firm13%
Media Company5%
VISITORS READING REVIEWS
Computer Software Company44%
Comms Service Provider17%
Financial Services Firm9%
Energy/Utilities Company6%
Company Size
REVIEWERS
Small Business37%
Midsize Enterprise21%
Large Enterprise42%
No Data Available
Find out what your peers are saying about Apache Hadoop vs. Oracle Big Data Appliance and other solutions. Updated: May 2021.
511,307 professionals have used our research since 2012.

Apache Hadoop is ranked 3rd in Data Warehouse with 10 reviews while Oracle Big Data Appliance is ranked 15th in Data Warehouse with 2 reviews. Apache Hadoop is rated 7.8, while Oracle Big Data Appliance is rated 8.0. 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 Big Data Appliance writes "End-users can build the reports by themselves without really knowing anything about databases". Apache Hadoop is most compared with Snowflake, Microsoft Azure Synapse Analytics, VMware Tanzu Greenplum, Oracle Exadata and IBM Netezza Performance Server, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Microsoft Azure Synapse Analytics, IBM Integrated Analytics System, IBM Netezza Performance Server and Microsoft Analytics Platform System. See our Apache Hadoop vs. Oracle Big Data Appliance report.

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