Apache Hadoop vs. Oracle Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 6.8 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 Database
Score 7.7 out of 10
N/A
Oracle Database, currently in edition 23c, offers native support for property graph data structures and graph queries. If you're looking for flexibility to build graphs in conjunction with transactional data, JSON, Spatial, and other data types, we got you covered. Developers can now easily build graph applications with SQL using existing SQL development tools and frameworks.N/A
Pricing
Apache HadoopOracle Database
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopOracle Database
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 Database
Considered Both Products
Hadoop

No answer on this topic

Oracle Database
Chose Oracle Database
Oracle completed solution and support is of cause better than open source solutions, we also choose other NoSQL database and Graph database, to address some very particular business use cases
Chose Oracle Database
Microsoft SQL Server is our most commonly used DBMS because most vendors support it. The user interface for SQL Server Management studio is also very easy to use. For this reason, we usually prefer SQL Server over Oracle. However, we also support Oracle because it is a …
Top Pros
Top Cons
Best Alternatives
Apache HadoopOracle Database
Small Businesses

No answers on this topic

Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.9 out of 10
SAP IQ
SAP IQ
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopOracle Database
Likelihood to Recommend
8.9
(36 ratings)
9.0
(178 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.0
(6 ratings)
Usability
8.5
(5 ratings)
7.4
(5 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
10.0
(4 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
9.6
(3 ratings)
User Testimonials
Apache HadoopOracle Database
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
I believe Oracle Database is still the best RDBMS database which is the database to consider for OLTP applications and for Adhoc requests. They are good in Datawarehousing in certain aspects but not the best. Oracle is also a great database for scaling up with their Clusterware solution which also makes the database highly available with services moving to the live instance without much trouble.
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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
  • Best thing about it is that it supports PL/SQL which is helpful in writing complex quarries easily.
  • Its storage capacity , backup and recovery features make it the best database storage tool available.
  • Other thing I like about this software is its interface is so good.
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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
  • The memory demand and management makes it impossible to run it in a container.
  • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
  • Lack of built in database migrations (e.g. as Flyway).
  • The need to install the Oracle client in addition to its drivers.
  • The cost of running it, especially in the Cloud.
  • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
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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
There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
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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
Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
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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
1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
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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
Implementation Rating
Apache
No answers on this topic
Oracle
Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
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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
Oracle is more of an enterprise-level database than Access and SAP Adaptive Server Enterprise isn't getting developed much (some people wonder how close it is to end of life) but SQL Server is miles ahead of Oracle IMO in terms of user experience and comparable in terms of performance AFAIK. As stated, a vendor forced our hand to use Oracle so we did not have a choice. If you are looking for help with an issue you are having, there are lots of SQL Server articles, etc. on the web and the community of SQL Server developers and DBA's is very strong and supportive. Oracle's help on the web is much more limited and often has an attitude that goes with it of superiority and lacking in compassion, IMO. For instance, check out the Ask Tom Oracle blog - a world of difference. If you choose Oracle, go into it with eyes wide open.
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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
  • Oracle Database 12c has had a very positive impact on our ability to build strong and robust custom applications in house without the need to come up with our own methods of data storage and management.
  • Oracle Database 12c has the strongest user interface of any database I have worked with and continuously is improving its strength with the addition of support for JSON and XML type objects in the database.
  • Oracle Database 12c is sometimes very heavy and DBA intensive, but the benefits far outweigh the costs, which we need to spend on DBA support for enabling security and access features.
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