Apache Hadoop vs. Oracle Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.5 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 8.3 out of 10
N/A
Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.
$0.05
per hour
Pricing
Apache HadoopOracle Database
Editions & Modules
No answers on this topic
Oracle Base Database Service - Standard
$0.0538
per hour
Oracle Base Database Service - Enterprise
$0.1075
per hour
Oracle Base Database Service - High Performance
$0.2218
per hour
Standard Edition
Contact Sales
Enterprise Edition
Contact Sales
Personal Edition
Contact Sales
Offerings
Pricing Offerings
HadoopOracle Database
Free Trial
NoYes
Free/Freemium Version
YesYes
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 …
Features
Apache HadoopOracle Database
Relational Databases
Comparison of Relational Databases features of Product A and Product B
Apache Hadoop
-
Ratings
Oracle Database
8.4
6 Ratings
6% above category average
ACID compliance00 Ratings8.76 Ratings
Database monitoring00 Ratings8.76 Ratings
Database locking00 Ratings8.56 Ratings
Encryption00 Ratings9.45 Ratings
Disaster recovery00 Ratings9.05 Ratings
Flexible deployment00 Ratings6.36 Ratings
Multiple datatypes00 Ratings8.06 Ratings
Best Alternatives
Apache HadoopOracle Database
Small Businesses

No answers on this topic

InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.2 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopOracle Database
Likelihood to Recommend
8.0
(37 ratings)
9.0
(190 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.0
(6 ratings)
Usability
8.0
(6 ratings)
7.4
(5 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
7.0
(5 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
We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
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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
  • Supports most of the Operating Systems like Unix, Linux and Windows Server.
  • It works well in high load environment under intense parallel transactions setup.
  • Highly reliable DBMS, especially RAC is very much reliable.
  • Well managed and predictable release of security patches.
  • We have highly scaled it from on-prem to a cloud cluster environment for our product.
  • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
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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
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
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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
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
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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
Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
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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
  • Multiple applications can use the same database and still get high performance
  • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
  • Almost a maintenance free database
  • Oracle Grid makes life easy in terms of monitoring and managing the databases
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ScreenShots