What is better Oracle Analytics or DataMelt? Specific firms demand different types of Data Analytics Software. To find out which solution meets your requirements, consider evaluating various options feature by feature including their conditions and costs. Likewise, you may get a quick idea of their general efficiency and customer feedback by having a look at our smart scoring system.
The results are: Oracle Analytics (9.1) vs. DataMelt (8.0) for overall quality and performance; Oracle Analytics (94%) vs. DataMelt (98%) for user satisfaction rating. Check out their strong and weaker points and find out which software is a better choice for your company. An effective, simple tactic is to write the advantages and disadvantages of both applications side by side and find out which software comes on top.
In case you you have to quickly decide on the top Data Analytics Software according to our review team we advise you check out the following services: Apache Hadoop, Apache Spark, 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.
DataMelt is a free and open-source software environment. This means you can use it for free without worrying about any enterprise pricing plan fees.
Meanwhile, if you’re going to use the software environment for commercial purposes, you need to pay for a one-time membership fee of $20 and abide by the restrictions and conditions specified under the Creative-Commons License.
Once you become a member of the DataMelt project, you can get a commercial usage license as well as access DataMelt’s full documentation, source code and script repositories, help system, and other important files and resources.
In the event you continue having doubts about which service will work best in your case it may be a sensible idea to analyze each service’s social metrics. Such metrics are quite often an indicator of how popular a given app is and how big is its online presence.For instance, if you analyze Oracle Analytics LinkedIn profile you’ll find out that they are followed by 5869445 people. In case of DataMelt the number of followers on their LinkedIn page is 0.
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