Apache Hadoop vs. Oracle Big Data Cloud Service

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.1 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Oracle Big Data Cloud Service
Score 7.2 out of 10
N/A
The Oracle Big Data Cloud Services features managed and secure platform cloud service for Apache Hadoop and Apache Spark delivered as an elastic, integrated platform. It provides support for streaming, batch, and interactive analysis.N/A
Pricing
Apache HadoopOracle Big Data Cloud Service
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopOracle Big Data Cloud Service
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopOracle Big Data Cloud Service
Top Pros
Top Cons
Features
Apache HadoopOracle Big Data Cloud Service
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Apache Hadoop
-
Ratings
Oracle Big Data Cloud Service
8.1
1 Ratings
0% below category average
Ease of building user interfaces00 Ratings9.01 Ratings
Scalability00 Ratings7.01 Ratings
Platform management overhead00 Ratings9.01 Ratings
Workflow engine capability00 Ratings8.01 Ratings
Platform access control00 Ratings8.01 Ratings
Services-enabled integration00 Ratings8.01 Ratings
Development environment creation00 Ratings9.01 Ratings
Issue recovery00 Ratings7.01 Ratings
Best Alternatives
Apache HadoopOracle Big Data Cloud Service
Small Businesses

No answers on this topic

AWS Elastic Beanstalk
AWS Elastic Beanstalk
Score 9.1 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.7 out of 10
IBM Cloud Private
IBM Cloud Private
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopOracle Big Data Cloud Service
Likelihood to Recommend
8.9
(36 ratings)
10.0
(1 ratings)
Likelihood to Renew
9.6
(8 ratings)
-
(0 ratings)
Usability
8.5
(5 ratings)
-
(0 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
-
(0 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopOracle Big Data Cloud Service
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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Oracle
We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.
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Pros
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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Oracle
  • User friendly
  • Offers support and assistance
  • Worth the cost
  • Time efficient
  • Good reliability
  • Reliable support
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Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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Oracle
  • Less pricey
  • Customizable
  • A little more help in setting up/using the systems
  • Constant upgrades are always pricey
  • Some bugs noticable
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Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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Oracle
No answers on this topic
Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
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Oracle
No answers on this topic
Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
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Oracle
No answers on this topic
Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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Oracle
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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Oracle
Although new, Oracle has been exceptionally good speed wise and the customer service is top notch
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Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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Oracle
  • It has had a good impact we are able to complete our projects in time
  • We can save all our data in a safe and secure location
  • Our data analysis is now faster than ever
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ScreenShots