What is better Oracle Analytics or Apache Hadoop? If you wish for a competent Data Analytics Software product for your business you need to take time to compare a wide range of solutions. It doesn’t have to be complex, and can be as easy as matching their features in a table like the one below. You will also get a good idea how each product operates. For example, on this page you can see Oracle Analytics’s overall score of 9.1 and compare it against Apache Hadoop’s score of 9.8; or Oracle Analytics’s user satisfaction level at 94% versus Apache Hadoop’s 99% satisfaction score.
The comparison can help you identify the strengths and weaknesses of each software, and make up your mind on which one suits you requirements better. Beyond the main features, the software that’s simple to grasp and use is always the better option.
In the event you would like to quickly decide on the best Data Analytics Software according to our experts we suggest you check out these products: Apache Spark, Apache Hadoop, IBM Business Analytics.
Oracle Analytics integrates with Oracle Fusion and non-Fusion SaaS apps such as Oracle SaaS Data.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hertz, Skanska, Western Alliance
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
Oracle Analytics streamlines data discovery as well as self-service analytics without sacrificing accuracy and speed. Equipped with machine learning and artificial intelligence, this solution not only allows you to gain real-time insights into your operations but also make your business decision-making process more agile.
Apache Hadoop is delivered based on the Apache License, a free and liberal software license that allows you to use, modify, and share any Apache software product for personal, research, production, commercial, or open source development purposes for free. Thus, you can use Apache Hadoop with no enterprise pricing plan to worry about.
Apache Hadoop integrates with the following open source projects and solutions from The Apache Software Foundation and third-party file systems:
Ambari
Avro
Cassandra
Chukwa
HBase
Hive
Mahout
Pig
Spark
Tez
ZooKeeper
YARN
Amazon S3
Azure Blob Storage
OpenStack Swift
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Hortonworks, Inc., Uber Technologies, Inc., McKinsey & Company
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A reliable, scalable, and open source software library and distributed computing framework developed for research and production-related activities; permitting users to process large amounts of data sets for data analysis, execute distributed parallel computing operations and tasks across clusters of servers and machines, and ensure the high performance and availability of applications that are running in Hadoop clusters.
You should note that while both Oracle Analytics and Apache Hadoop may offer an excellent range of features every service could be designed for a different company size. If you are studying different apps you should give some attention to a company size they are aimed at. Specific features could scale up with no problem for huge enterprises but if you have a small or medium business it’s often better to refrain paying for advanced functionalities that you may never actually use.
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