What is better Analyse-it or DataMelt? We are here to streamline the process of comparing Data Analytics Software products for you. For example, on this page you can look at the overall performance of Analyse-it (8.9) and contrast it with the overall performance of DataMelt (8.0). You may also match their overall user satisfaction rating: Analyse-it (N/A%) vs. DataMelt (98%).
Likewise, research their features thoroughly to find out which product can better tackle your company’s requirements. Generally, any B2B software should allow you to immediately see the big picture, at the same time giving you quick access to the details.
As of now, the best services in our Data Analytics Software category are: Apache Spark, Apache Hadoop, IBM Business Analytics.
Analyse-it offers the following basic and enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Standard Edition: Annual subscription $99/year, perpetual license $269
Analyse-it integrates with the following applications:
Microsoft Excel
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
North Shore University Hospital, Abbott, SIEMENS
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
Data visualization & statistical analysis software that provides businesses with the tools they need to carry out in-depth statistical analysis in Excel.
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 case you continue having doubts about which software will perform best in your case it may be a sensible idea to check out each service’s social metrics. Such metrics are usually an indicator of how popular a given software is and how large is its online presence. For example, in case of Facebook Analyse-it has 1218 likes on their official page while DataMelt profile is liked by 10 users.
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